Tumor patient rehabilitation monitoring system and method

Abstract

The invention discloses a tumor patient rehabilitation monitoring system and method, relates to the field of tumor rehabilitation, and solves the problem that an existing tumor patient rehabilitation monitoring system is poor in monitoring effect. The weight monitoring index analysis module is used for carrying out weight monitoring index analysis on a target tumor patient in a weight monitoring period, and obtaining an abnormal weight index quantity value according to an analysis result, and the marker data module is used for setting a marker monitoring period and a plurality of tumor markers for the target tumor patient; the tumor marker analysis module is used for carrying out tumor marker analysis on a target tumor patient in a marker monitoring period and obtaining the number value of abnormal tumor markers according to an analysis result, and the rehabilitation evaluation module is used for evaluating the rehabilitation state of the target tumor patient and is high in comprehensiveness and accuracy of the rehabilitation monitoring result of the tumor patient.

Description

Technical Field

[0001] The present invention belongs to the field of tumor rehabilitation and relates to data analysis technology, specifically a tumor patient rehabilitation monitoring system and method. Background Art

[0002] The existing rehabilitation monitoring system for cancer patients has the following specific defects when conducting rehabilitation monitoring on cancer patients: 1. Existing cancer patient rehabilitation monitoring systems fail to monitor weight indicators for cancer patients, including advanced weight data such as body fat percentage and muscle mass, and are unable to monitor changes in weight indicators over a fixed time period, resulting in inaccurate monitoring results. 2. The existing rehabilitation monitoring system for cancer patients has a limited number of selected tumor markers when monitoring tumor markers, and is unable to analyze the dynamic changes of tumor markers in combination with time changes, resulting in a lack of comprehensiveness in the monitoring process.

[0003] To this end, we propose a rehabilitation monitoring system and method for cancer patients. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a cancer patient rehabilitation monitoring system and method, and the present invention aims to improve the comprehensiveness and accuracy of the cancer patient rehabilitation monitoring system.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a cancer patient rehabilitation monitoring system, wherein the specific working process of each module is as follows: Weight data module: Set a weight monitoring cycle and several weight monitoring indicators for target cancer patients, perform periodic analysis of weight monitoring indicators for target cancer patients in the weight monitoring cycle, and obtain the number of abnormal weight indicators based on the analysis results; Marker data module: Sets a marker monitoring cycle and several tumor markers for target tumor patients, performs periodic tumor marker analysis on target tumor patients in the marker monitoring cycle, and obtains the number of abnormal tumor markers based on the analysis results; Rehabilitation assessment module: Assess the rehabilitation status of target cancer patients based on the abnormal tumor marker values and abnormal weight index values.

[0006] Furthermore, the quantitative value of the abnormal weight index is obtained as follows: Acquire cancer patients who are in a state of rehabilitation monitoring, and arbitrarily select a target cancer patient from the acquired multiple cancer patients; During the rehabilitation monitoring of the target cancer patient, the time point corresponding to the current moment is marked as the cycle end time point, and a cycle start time point is marked in the period before the cycle end time point, and the period between the cycle start time point and the cycle end time point is marked as the patient weight monitoring period; In the process of monitoring the weight index of the target tumor patient, a plurality of weight monitoring indicators are set, and the set plurality of weight monitoring indicators are named T1 weight monitoring index to Ta weight monitoring index respectively; Performing T1 weight monitoring index analysis on target tumor patients who are in a patient weight monitoring period, obtaining an index abnormality coefficient corresponding to the T1 weight monitoring index based on the analysis result, and obtaining the T1 weight index abnormality coefficient; Obtain the indicator abnormality coefficient corresponding to the T2 weight monitoring indicator to the Ta weight monitoring indicator, and obtain the abnormal change coefficient of the T2 weight indicator to the Ta weight indicator; The abnormal coefficient of the T1 weight index to the abnormal change coefficient of the Ta weight index are judged as abnormal, and the T1 weight monitoring index to the Ta weight monitoring index are divided into normal weight index and abnormal weight index according to the judgment result; The abnormal weight index is quantitatively counted to obtain the quantitative value of the abnormal weight index.

[0007] Furthermore, the abnormal coefficient of T1 weight index is obtained as follows: Mark a number of time characteristic points with equal time intervals during the patient's weight monitoring period, and mark the obtained time characteristic points in chronological order as Z1 time characteristic point to Zb time characteristic point; The target cancer patient at the Z1 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z1 time; the target cancer patient at the Z2 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z2 time; and so on, the target cancer patient at the Zb time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Zb time; Obtain the T1 weight monitoring index reference interval, obtain the deviations between the T1 index value at time Z1 and the T1 index value at time Zb and the T1 weight monitoring index reference interval, take the absolute value of the obtained deviations to obtain multiple index deviations, and average the obtained multiple index deviations to obtain the period T1 index value deviation; Analyze the changes in the T1 index value between each two consecutive time feature points to obtain the T1 index periodic change rate; The product of the numerical deviation of the T1 index during the period and the periodic change rate of the T1 index was calculated to obtain the abnormal change coefficient of the T1 weight index.

[0008] A method for monitoring the rehabilitation of a tumor patient, comprising: Step S1: setting a weight monitoring period and several weight monitoring indicators for a target cancer patient, performing a periodic analysis of the weight monitoring indicators for the target cancer patient in the weight monitoring period, and obtaining the numerical value of the abnormal weight indicator according to the analysis results; Step S2: Setting a marker monitoring cycle and a number of tumor markers for the target tumor patient, performing periodic tumor marker analysis on the target tumor patient in the marker monitoring cycle, and obtaining abnormal tumor marker quantity values based on the analysis results; Step S3: Evaluate the recovery status of the target cancer patient based on the abnormal tumor marker quantity values and the abnormal weight index quantity values.

[0009] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention monitors the weight index of cancer patients by integrating various advanced weight data such as body fat percentage and muscle mass to monitor the weight index of patients. It can monitor the changes in weight index within a fixed time period, thereby improving the accuracy of the monitoring results. 2. When monitoring tumor markers, the present invention can select multiple different types of tumor markers to monitor the patient's recovery status, and analyze the dynamic changes of tumor markers in combination with time changes, thereby ensuring the comprehensiveness of the recovery status monitoring process. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0011] Figure 1 is a block diagram of the overall system of the present invention; Figure 2 It is a diagram of the implementation steps of the present invention. DETAILED DESCRIPTION

[0012] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0013] Example 1 See also Figure 1The present invention provides a technical solution: a rehabilitation monitoring system for cancer patients, the rehabilitation monitoring system comprising a weight data module, a tumor marker module, a rehabilitation assessment module and a server, wherein the weight data module, the tumor marker module and the rehabilitation assessment module are respectively connected to the server, and the server controls the weight data module, the tumor marker module and the rehabilitation assessment module respectively; the weight data module, the tumor marker module and the rehabilitation assessment module; The weight data module sets a weight monitoring cycle and several weight monitoring indicators for target cancer patients, performs periodic analysis of weight monitoring indicators for target cancer patients in the weight monitoring cycle, and obtains the numerical value of abnormal weight indicators based on the analysis results; The details are as follows: Acquire cancer patients who are in a state of rehabilitation monitoring, and arbitrarily select a target cancer patient from the acquired multiple cancer patients; During the rehabilitation monitoring of the target cancer patient, the time point corresponding to the current moment is marked as the cycle end time point, and a cycle start time point is marked in the period before the cycle end time point, and the period between the cycle start time point and the cycle end time point is marked as the patient weight monitoring period; It should be noted here that: In this application, as the time value corresponding to the current moment changes, the cycle end time point and the cycle start time also change accordingly, thereby achieving dynamic update of the patient weight monitoring cycle; In the process of monitoring the weight index of the target tumor patient, a plurality of weight monitoring indicators are set, and the set plurality of weight monitoring indicators are named T1 weight monitoring index to Ta weight monitoring index respectively; It should be noted here that: In this application, T referred to herein is the symbol corresponding to the weight monitoring indicator, a referred to herein is the numerical value corresponding to the weight monitoring indicator, and a is an integer greater than 0; In the present application, the T1 weight monitoring indicator involved here may be BMI, the T2 weight monitoring indicator involved here may be body fat percentage, the T3 weight monitoring indicator involved here may be muscle mass, and the T4 weight monitoring indicator involved here may be body water percentage.

[0014] Performing T1 weight monitoring index analysis on target tumor patients who are in a patient weight monitoring period, obtaining an index abnormality coefficient corresponding to the T1 weight monitoring index based on the analysis result, and obtaining the T1 weight index abnormality coefficient; The details are as follows: Mark a number of time characteristic points with equal time intervals during the patient's weight monitoring period, and mark the obtained time characteristic points in chronological order as Z1 time characteristic point to Zb time characteristic point; It should be noted here that: In the present application, Z referred to here is the sign symbol corresponding to the time characteristic point within the patient weight monitoring period, a is the quantity value corresponding to the time characteristic point within the patient weight monitoring period, and a is an integer greater than 0.

[0015] The target cancer patient at the Z1 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z1 time; the target cancer patient at the Z2 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z2 time; and so on, the target cancer patient at the Zb time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Zb time; Obtain the T1 weight monitoring index reference interval, obtain the deviations between the T1 index value at time Z1 and the T1 index value at time Zb and the T1 weight monitoring index reference interval, take the absolute value of the obtained deviations to obtain multiple index deviations, and average the obtained multiple index deviations to obtain the period T1 index value deviation; It should be noted here that: In this application, the T1 weight monitoring index reference interval involved herein is specifically the range value corresponding to the T1 weight monitoring index corresponding to a normal adult of the same age as the target tumor patient; For example, if the T1 weight monitoring indicator is BMI, and the target cancer patient is a 35-year-old male adult, the T1 weight monitoring indicator baseline interval can be set to [18.5, 25]; Get the time difference between each two consecutive time feature points to obtain the T1 feature time difference; The index value of T1 at time Z1, the index value of T1 at time Z2 and the characteristic time difference of T1 are calculated to obtain the index change rate between the index value of T1 at time Z1 and the index value of T1 at time Z2, and the change rate of T1 in period Z1 is obtained; Calculate the rate of change of T1 during the Z1 period. The specific formula is as follows: ; Among them, Sz1 is the rate of change of T1 in Z1 period, Ztz1 is the index value of T1 at Z1 moment, Ztz2 is the index value of T1 at Z2 moment, and Sct1 is the characteristic time difference of T1; Repeat the process of obtaining the change rate of T1 in period Z1, obtain the change rate of T1 in period Z2 to the change rate of T1 in period Zb respectively, calculate the average value of the change rate of T1 in period Z1 to the change rate of T1 in period Zb, and obtain the periodic change rate of T1 indicator; The product of the numerical deviation of the T1 index during the period and the periodic change rate of the T1 index was calculated to obtain the abnormal change coefficient of the T1 weight index; Repeat the process of obtaining the abnormal coefficient of the T1 weight index, respectively obtain the abnormal coefficients of the indicators corresponding to the T2 weight monitoring indicators to the Ta weight monitoring indicators, and obtain the abnormal change coefficient of the T2 weight index to the Ta weight index; Obtain the reasonable abnormal intervals of weight indicators corresponding to the T1 weight monitoring indicator to the Ta weight monitoring indicator respectively, and obtain the reasonable interval of the T1 weight indicator to the Ta weight indicator; It should be noted here that: The reasonable range of T1 weight index is obtained as follows: In this application, the lower limit of the reasonable interval of the T1 weight index is 0, that is, there is no abnormality in the T1 weight monitoring index; Select several historical cancer patients with good recovery status, where the historical cancer patients have the same symptoms as the target cancer patient, obtain the Ti weight index abnormality coefficient corresponding to each historical cancer patient, and calculate the average of the obtained multiple Ti weight index abnormality coefficients to obtain the upper limit of the interval; The values between the upper and lower limits of the interval are marked as the reasonable range of Ti weight index; The Ti weight index reasonable interval involved here may be any one of the T1 weight index reasonable interval and the Ta weight index reasonable interval.

[0016] If the abnormal coefficient of the T1 weight index is within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as an abnormal weight index; if the abnormal coefficient of the T1 weight index is not within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as a normal weight index; It should be noted here that: The abnormal weight indicators involved here include the reasonable range boundaries of T1 weight indicators; If the abnormal coefficient of the T1 weight index is within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as an abnormal weight index; if the abnormal coefficient of the T1 weight index is not within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as a normal weight index; Similarly, if the abnormal coefficient of Ta's weight index is within the reasonable range of Ta's weight index, then Ta's weight monitoring index will be marked as abnormal weight index; if the abnormal coefficient of Ta's weight index is not within the reasonable range of Ta's weight index, then Ta's weight monitoring index will be marked as normal weight index; Counting the abnormal weight indicators to obtain the abnormal weight indicator quantity values; The weight data module obtains the abnormal weight index value and transmits it to the rehabilitation assessment module; The marker data module sets a marker monitoring cycle and several tumor markers for the target tumor patients, performs periodic tumor marker analysis on the target tumor patients in the marker monitoring cycle, and obtains the number of abnormal tumor markers based on the analysis results; The details are as follows: During the rehabilitation monitoring of the target cancer patient, the time point corresponding to the current moment is marked as the cycle end time point, and within the period before the cycle end time point, a cycle start time point is marked, and the period between the cycle start time point and the cycle end time point is marked as the tumor marker monitoring cycle; It should be noted here that: In this application, as the time value corresponding to the current moment changes, the cycle end time point and the cycle start time also change accordingly, thereby achieving dynamic updating of the tumor marker monitoring cycle; In the process of monitoring marker indicators of target tumor patients, several tumor markers are set, and the set tumor markers are named L1 tumor markers to Lc monitoring indicators respectively; It should be noted here that: In this application, L referred to herein is the symbol corresponding to the tumor marker, and c referred to herein is the quantity corresponding to the tumor marker, and c is an integer greater than 0; In the present application, the L1 tumor marker involved here can be alpha-fetoprotein, the L2 tumor marker involved here can be carcinoembryonic antigen, the L3 tumor marker involved here can be carbohydrate antigen 125, and the L4 tumor marker involved here can be body water rate carbohydrate antigen 15-3.

[0017] Performing L1 tumor marker analysis on target tumor patients who are in a tumor marker monitoring period, obtaining an abnormality coefficient of an indicator corresponding to the L1 tumor marker based on the analysis result, and obtaining an abnormality coefficient of an L1 marker indicator; The details are as follows: Marking a number of time characteristic points with equal time intervals during the tumor marker monitoring cycle, and marking the obtained time characteristic points in chronological order as P1 time characteristic point to Pd time characteristic point; It should be noted here that: In the present application, P referred to herein is the sign symbol corresponding to the time characteristic point within the tumor marker monitoring period, c is the quantity value corresponding to the time characteristic point within the tumor marker monitoring period, and c is an integer greater than 0.

[0018] The target tumor patient at the P1 time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at P1; the target tumor patient at the P2 time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at P2; and so on, the target tumor patient at the Pd time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at Pd; Obtaining an L1 tumor marker reference interval, respectively obtaining the deviations between the L1 index value at time P1 and the L1 index value at time Pd and the L1 tumor marker reference interval, taking absolute values of the obtained deviations to obtain multiple absolute values of the deviations, and averaging the multiple absolute values of the obtained deviations to obtain the periodic L1 index value deviation; It should be noted here that: In this application, the L1 tumor marker reference interval referred to herein is specifically the range of L1 tumor marker values corresponding to normal adults of the same age as the target tumor patient; For example, if the L1 tumor marker is dMI and the target tumor patient is a 35-year-old male adult, the L1 tumor marker baseline interval can be set to [0 ng / mL, 10 ng / mL]; Get the time difference between each two consecutive time feature points to obtain the L1 feature time difference; The L1 index value at time P1, the L1 index value at time P2, and the L1 characteristic time difference are calculated to obtain the index change rate between the L1 index value at time P1 and the L1 index value at time P2, and the L1 change rate during the P1 period is obtained; Calculate the L1 change rate during the P1 period. The specific formula is as follows: ; Among them, Sp1 is the L1 change rate during the P1 period, Plp1 is the L1 index value at the P1 moment, Plp2 is the L1 index value at the P2 moment, and Scl1 is the L1 characteristic time difference; Repeat the process of obtaining the L1 change rate in the P1 period, obtain the L1 change rate in the P2 period to the L1 change rate in the Pd period respectively, calculate the average value of the L1 change rate in the P1 period to the L1 change rate in the Pd period, and obtain the L1 indicator periodic change rate; The product of the periodic L1 indicator numerical deviation and the L1 indicator periodic change rate is calculated to obtain the L1 marker indicator abnormal change coefficient; Repeat the process of obtaining the abnormal coefficient of the L1 marker indicator to obtain the abnormal coefficients of the indicators corresponding to the L2 tumor marker to the Lc tumor marker, and obtain the abnormal change coefficient of the L2 marker indicator to the Lc marker indicator; The reasonable abnormal intervals of marker indicators corresponding to the L1 tumor marker to the Lc tumor marker are obtained respectively, and the reasonable intervals of the L1 marker indicators to the reasonable intervals of the Lc marker indicators are obtained; It should be noted here that: The reasonable range of L1 marker indicators is obtained as follows: In this application, the lower limit of the reasonable interval of the L1 marker index is 0, that is, there is no abnormality in the L1 tumor marker; Select several historical cancer patients with good recovery status, where the historical cancer patients have the same symptoms as the target cancer patient, obtain the abnormal coefficient of the Li marker index corresponding to each historical cancer patient, and calculate the average of the obtained multiple abnormal coefficients of the Li marker index to obtain the upper limit of the interval; The values between the upper limit and the lower limit of the interval are marked as the reasonable interval of the Li marker index; The Li marker index reasonable interval involved here may be any one of the marker index reasonable intervals from the L1 marker index reasonable interval to the Lc marker index reasonable interval.

[0019] If the abnormal coefficient of the L1 marker index is within the reasonable range of the L1 marker index, the L1 tumor marker is marked as an abnormal tumor marker; if the abnormal coefficient of the L1 marker index is not within the reasonable range of the L1 marker index, the L1 tumor marker is marked as a normal tumor marker; It should be noted here that: The abnormal tumor markers involved here include the reasonable interval boundaries of L1 marker indicators; Similarly, if the abnormal coefficient of the Lc marker index is within the reasonable range of the Lc marker index, the Lc tumor marker is marked as an abnormal tumor marker; if the abnormal coefficient of the Lc marker index is not within the reasonable range of the Lc marker index, the Lc tumor marker is marked as a normal tumor marker; Counting the number of abnormal tumor markers to obtain the number of abnormal tumor markers; The marker data module obtains the abnormal tumor marker quantity value and transmits it to the rehabilitation assessment module; The rehabilitation assessment module assesses the rehabilitation status of target cancer patients based on the abnormal tumor marker values and abnormal weight index values; The details are as follows: Obtaining the quantitative values of abnormal tumor markers and abnormal weight indexes respectively; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is greater than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker value is less than 0 and the abnormal weight index value is less than 0, the target cancer patient is judged to be in a qualified recovery state; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is less than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker quantity value is less than 0 and the abnormal weight index quantity value is greater than 0, it is judged that the recovery status of the target tumor patient is unqualified.

[0020] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.

[0021] Example 2 See also Figure 2 Based on another concept of the same invention, a method for monitoring the rehabilitation of cancer patients is proposed, which is applied to a system for monitoring the rehabilitation of cancer patients. The method comprises the following steps: Step S1: setting a weight monitoring period and several weight monitoring indicators for a target cancer patient, performing a periodic analysis of the weight monitoring indicators for the target cancer patient in the weight monitoring period, and obtaining the numerical value of the abnormal weight indicator according to the analysis results; The step S1 further includes the following specific steps: Acquire cancer patients who are in a state of rehabilitation monitoring, and arbitrarily select a target cancer patient from the acquired multiple cancer patients; During the rehabilitation monitoring of the target cancer patient, the time point corresponding to the current moment is marked as the cycle end time point, and a cycle start time point is marked in the period before the cycle end time point, and the period between the cycle start time point and the cycle end time point is marked as the patient weight monitoring period; In the process of monitoring the weight index of the target tumor patient, a plurality of weight monitoring indicators are set, and the set plurality of weight monitoring indicators are named T1 weight monitoring index to Ta weight monitoring index respectively; Performing T1 weight monitoring index analysis on target tumor patients who are in a patient weight monitoring period, obtaining an index abnormality coefficient corresponding to the T1 weight monitoring index based on the analysis result, and obtaining the T1 weight index abnormality coefficient; The details are as follows: Mark a number of time characteristic points with equal time intervals during the patient's weight monitoring period, and mark the obtained time characteristic points in chronological order as Z1 time characteristic point to Zb time characteristic point; The target cancer patient at the Z1 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z1 time; the target cancer patient at the Z2 time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Z2 time; and so on, the target cancer patient at the Zb time characteristic point is monitored for T1 weight monitoring indicators to obtain the T1 indicator value at Zb time; Obtain the T1 weight monitoring index reference interval, obtain the deviations between the T1 index value at time Z1 and the T1 index value at time Zb and the T1 weight monitoring index reference interval, take the absolute value of the obtained deviations to obtain multiple index deviations, and average the obtained multiple index deviations to obtain the period T1 index value deviation; Analyze the changes in the T1 index value between each two consecutive time feature points to obtain the T1 index periodic change rate; The details are as follows: Get the time difference between each two consecutive time feature points to obtain the T1 feature time difference; The index value of T1 at time Z1, the index value of T1 at time Z2 and the characteristic time difference of T1 are calculated to obtain the index change rate between the index value of T1 at time Z1 and the index value of T1 at time Z2, and the change rate of T1 in period Z1 is obtained; Calculate the rate of change of T1 during the Z1 period. The specific formula is as follows: ; Among them, Sz1 is the rate of change of T1 in Z1 period, Ztz1 is the index value of T1 at Z1 moment, Ztz2 is the index value of T1 at Z2 moment, and Sct1 is the characteristic time difference of T1; Repeat the process of obtaining the change rate of T1 in period Z1, obtain the change rate of T1 in period Z2 to the change rate of T1 in period Zb respectively, calculate the average value of the change rate of T1 in period Z1 to the change rate of T1 in period Zb, and obtain the periodic change rate of T1 indicator; The product of the numerical deviation of the T1 index during the period and the periodic change rate of the T1 index was calculated to obtain the abnormal change coefficient of the T1 weight index; Repeat the process of obtaining the abnormal coefficient of the T1 weight index, respectively obtain the abnormal coefficients of the indicators corresponding to the T2 weight monitoring indicators to the Ta weight monitoring indicators, and obtain the abnormal change coefficient of the T2 weight index to the Ta weight index; The abnormal coefficient of the T1 weight index to the abnormal change coefficient of the Ta weight index are judged as abnormal, and the T1 weight monitoring index to the Ta weight monitoring index are divided into normal weight index and abnormal weight index according to the judgment result; The details are as follows: Obtain the reasonable abnormal intervals of weight indicators corresponding to the T1 weight monitoring indicator to the Ta weight monitoring indicator respectively, and obtain the reasonable interval of the T1 weight indicator to the Ta weight indicator; If the abnormal coefficient of the T1 weight index is within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as an abnormal weight index; if the abnormal coefficient of the T1 weight index is not within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as a normal weight index; If the abnormal coefficient of the T1 weight index is within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as an abnormal weight index; if the abnormal coefficient of the T1 weight index is not within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as a normal weight index; Similarly, if the abnormal coefficient of Ta's weight index is within the reasonable range of Ta's weight index, then Ta's weight monitoring index will be marked as abnormal weight index; if the abnormal coefficient of Ta's weight index is not within the reasonable range of Ta's weight index, then Ta's weight monitoring index will be marked as normal weight index; Obtaining numerical values of abnormal weight indicators to obtain quantitative values of abnormal weight indicators; Step S2: Setting a marker monitoring cycle and a number of tumor markers for the target tumor patient, performing periodic tumor marker analysis on the target tumor patient in the marker monitoring cycle, and obtaining abnormal tumor marker quantity values based on the analysis results; The step S2 further includes the following specific steps: During the rehabilitation monitoring of the target cancer patient, the time point corresponding to the current moment is marked as the cycle end time point, and within the period before the cycle end time point, a cycle start time point is marked, and the period between the cycle start time point and the cycle end time point is marked as the tumor marker monitoring cycle; In the process of monitoring marker indicators of target tumor patients, several tumor markers are set, and the set tumor markers are named L1 tumor markers to Lc monitoring indicators respectively; Performing L1 tumor marker analysis on target tumor patients who are in a tumor marker monitoring period, obtaining an abnormality coefficient of an indicator corresponding to the L1 tumor marker based on the analysis result, and obtaining an abnormality coefficient of an L1 marker indicator; The details are as follows: Marking a number of time characteristic points with equal time intervals during the tumor marker monitoring cycle, and marking the obtained time characteristic points in chronological order as P1 time characteristic point to Pd time characteristic point; The target tumor patient at the P1 time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at P1; the target tumor patient at the P2 time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at P2; and so on, the target tumor patient at the Pd time characteristic point is monitored for L1 tumor markers to obtain the L1 index value at Pd; Obtaining an L1 tumor marker reference interval, respectively obtaining the deviations between the L1 index value at time P1 and the L1 index value at time Pd and the L1 tumor marker reference interval, taking absolute values of the obtained deviations to obtain multiple absolute values of the deviations, and averaging the multiple absolute values of the obtained deviations to obtain the periodic L1 index value deviation; Get the time difference between each two consecutive time feature points to obtain the L1 feature time difference; The L1 index value at time P1, the L1 index value at time P2, and the L1 characteristic time difference are calculated to obtain the index change rate between the L1 index value at time P1 and the L1 index value at time P2, and the L1 change rate during the P1 period is obtained; Calculate the L1 change rate during the P1 period. The specific formula is as follows: ; Among them, Sp1 is the L1 change rate during the P1 period, Plp1 is the L1 index value at the P1 moment, Plp2 is the L1 index value at the P2 moment, and Scl1 is the L1 characteristic time difference; Repeat the process of obtaining the L1 change rate in the P1 period, obtain the L1 change rate in the P2 period to the L1 change rate in the Pd period respectively, calculate the average value of the L1 change rate in the P1 period to the L1 change rate in the Pd period, and obtain the L1 indicator periodic change rate; The product of the periodic L1 indicator numerical deviation and the L1 indicator periodic change rate is calculated to obtain the L1 marker indicator abnormal change coefficient; Repeat the process of obtaining the abnormal coefficient of the L1 marker indicator to obtain the abnormal coefficients of the indicators corresponding to the L2 tumor marker to the Lc tumor marker, and obtain the abnormal change coefficient of the L2 marker indicator to the Lc marker indicator; The abnormal coefficient of the L1 marker index to the abnormal change coefficient of the Lc marker index are used to judge the abnormality of the index, and the L1 tumor marker to the L1 tumor marker are divided into normal tumor markers and abnormal tumor markers according to the judgment results; The details are as follows: The reasonable abnormal intervals of marker indicators corresponding to the L1 tumor marker to the Lc tumor marker are obtained respectively, and the reasonable intervals of the L1 marker indicators to the reasonable intervals of the Lc marker indicators are obtained; If the abnormal coefficient of the L1 marker index is within the reasonable range of the L1 marker index, the L1 tumor marker is marked as an abnormal tumor marker; if the abnormal coefficient of the L1 marker index is not within the reasonable range of the L1 marker index, the L1 tumor marker is marked as a normal tumor marker; Similarly, if the abnormal coefficient of the Lc marker index is within the reasonable range of the Lc marker index, the Lc tumor marker is marked as an abnormal tumor marker; if the abnormal coefficient of the Lc marker index is not within the reasonable range of the Lc marker index, the Lc tumor marker is marked as a normal tumor marker; Counting the number of abnormal tumor markers to obtain the number of abnormal tumor markers; Step S3: evaluating the recovery status of the target cancer patient based on the abnormal tumor marker values and the abnormal weight index values; The step S3 further includes the following specific steps: Obtaining the quantitative values of abnormal tumor markers and abnormal weight indexes respectively; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is greater than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker value is less than 0 and the abnormal weight index value is less than 0, the target cancer patient is judged to be in a qualified recovery state; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is less than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker quantity value is less than 0 and the abnormal weight index quantity value is greater than 0, it is judged that the recovery status of the target tumor patient is unqualified.

[0022] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A cancer patient rehabilitation monitoring system, characterized in that: include: Weight data module: Set a weight monitoring cycle and several weight monitoring indicators for target cancer patients, analyze the weight monitoring indicators of target cancer patients in the weight monitoring cycle, and obtain the abnormal weight indicator values based on the analysis results; Marker data module: Sets a marker monitoring cycle and several tumor markers for target tumor patients, performs tumor marker analysis on target tumor patients in the marker monitoring cycle, and obtains abnormal tumor marker counts based on the analysis results; Rehabilitation assessment module: Assess the rehabilitation status of target cancer patients based on the abnormal tumor marker values and abnormal weight index values.

2. A cancer patient rehabilitation monitoring system according to claim 1, characterized in that: The quantitative values of abnormal weight indicators are obtained as follows: Acquire cancer patients who are in a state of rehabilitation monitoring, and arbitrarily select a target cancer patient from the acquired multiple cancer patients; During the recovery monitoring of the target tumor patient, a patient weight monitoring period is marked; In the process of monitoring the weight index of the target tumor patient, the T1 weight monitoring index to the Ta weight monitoring index are set; Perform T1 weight monitoring index analysis on target tumor patients who are in the patient weight monitoring period, and obtain the abnormal coefficient of T1 weight index based on the analysis results; Obtain the indicator abnormality coefficient corresponding to the T2 weight monitoring indicator to the Ta weight monitoring indicator, and obtain the abnormal change coefficient of the T2 weight indicator to the Ta weight indicator; The abnormal coefficient of the T1 weight index to the abnormal change coefficient of the Ta weight index are judged as abnormal, and the T1 weight monitoring index to the Ta weight monitoring index are divided into normal weight index and abnormal weight index according to the judgment result; The abnormal weight index is quantitatively counted to obtain the quantitative value of the abnormal weight index.

3. A cancer patient rehabilitation monitoring system according to claim 2, characterized in that: The abnormal coefficient of T1 weight index is obtained as follows: Mark several time characteristic points with equal time intervals during the patient weight monitoring period to obtain time characteristic points Z1 to Zb; Monitor the T1 weight monitoring index of the target tumor patient at the Z1 time characteristic point to obtain the T1 index value at the Z1 moment; monitor the T1 weight monitoring index of the target tumor patient at the Zb time characteristic point to obtain the T1 index value at the Zb moment; Obtain the T1 weight monitoring index reference interval, obtain the deviations between the T1 index value at time Z1 and the T1 index value at time Zb and the T1 weight monitoring index reference interval, take the absolute value of the obtained deviations to obtain multiple index deviations, and average the obtained multiple index deviations to obtain the period T1 index value deviation; Analyze the changes in the T1 index value between each two consecutive time feature points to obtain the T1 index periodic change rate; The product of the numerical deviation of the T1 index during the period and the periodic change rate of the T1 index was calculated to obtain the abnormal change coefficient of the T1 weight index.

4. A cancer patient rehabilitation monitoring system according to claim 3, characterized in that: The T1 indicator periodic change rate is obtained as follows: Get the time difference between each two consecutive time feature points to obtain the T1 feature time difference; The T1 index value at time Z1, the T1 index value at time Z2 and the T1 characteristic time difference are calculated to obtain the T1 change rate during the Z1 period; Calculate the rate of change of T1 during the Z1 period; Get the change rate of T1 from period Z2 to period Zb respectively, calculate the average value of the change rate of T1 from period Z1 to period Zb, and get the periodic change rate of T1 indicator.

5. The cancer patient rehabilitation monitoring system according to claim 2, characterized in that: The T1 to Ta weight monitoring indicators are divided into normal weight indicators and abnormal weight indicators, as follows: Obtain the reasonable abnormal intervals of weight indicators corresponding to the T1 weight monitoring indicator to the Ta weight monitoring indicator respectively, and obtain the reasonable interval of the T1 weight indicator to the Ta weight indicator; If the abnormal coefficient of the T1 weight index is within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as an abnormal weight index; if the abnormal coefficient of the T1 weight index is not within the reasonable range of the T1 weight index, the T1 weight monitoring index is marked as a normal weight index; If the abnormal coefficient of Ta's weight index is within the reasonable range of Ta's weight index, Ta's weight monitoring index will be marked as an abnormal weight index. If the abnormal coefficient of Ta's weight index is not within the reasonable range of Ta's weight index, Ta's weight monitoring index will be marked as a normal weight index.

6. The cancer patient rehabilitation monitoring system according to claim 1, characterized in that: The abnormal tumor marker values are obtained as follows: During the recovery monitoring of the target tumor patient, a tumor marker monitoring cycle is marked; In the process of monitoring marker indicators of target tumor patients, L1 tumor markers to Lc monitoring indicators are set; Perform L1 tumor marker analysis on target tumor patients who are in the tumor marker monitoring cycle to obtain the L1 marker index abnormality coefficient; Obtain the abnormal coefficients of the indicators corresponding to the L2 tumor marker to the Lc tumor marker respectively, and obtain the abnormal coefficient of change of the L2 marker indicator to the Lc marker indicator; The abnormal coefficient of the L1 marker index to the abnormal change coefficient of the Lc marker index are used to judge the abnormality of the index, and the L1 tumor marker to the L1 tumor marker are divided into normal tumor markers and abnormal tumor markers according to the judgment results; The abnormal tumor markers are quantitatively counted to obtain the abnormal tumor marker quantitative values.

7. A cancer patient rehabilitation monitoring system according to claim 6, characterized in that: The abnormal coefficient of the L1 marker index is obtained as follows: Marking a number of time characteristic points with equal time intervals during the tumor marker monitoring cycle to obtain time characteristic points P1 to Pd; Monitor the target tumor patient at the P1 time characteristic point for L1 tumor markers to obtain the L1 index value at P1. Similarly, monitor the target tumor patient at the Pd time characteristic point for L1 tumor markers to obtain the L1 index value at Pd. Obtaining an L1 tumor marker reference interval, respectively obtaining the deviations between the L1 index value at time P1 and the L1 index value at time Pd and the L1 tumor marker reference interval, taking absolute values of the obtained deviations to obtain multiple absolute values of the deviations, and averaging the multiple absolute values of the obtained deviations to obtain the periodic L1 index value deviation; Get the time difference between each two consecutive time feature points to obtain the L1 feature time difference; The L1 index value at time P1, the L1 index value at time P2 and the L1 characteristic time difference are used to calculate the L1 change rate during the P1 period; Calculate the L1 change rate during the P1 period; Obtain the L1 change rate from the P2 period to the L1 change rate from the Pd period, calculate the average of the L1 change rate from the P1 period to the Pd period, and obtain the L1 indicator periodic change rate; The product of the numerical deviation of the periodic L1 indicator and the periodic change rate of the L1 indicator was calculated to obtain the abnormal change coefficient of the L1 marker indicator.

8. The cancer patient rehabilitation monitoring system according to claim 6, characterized in that: L1 tumor markers to L1 tumor markers are divided into normal tumor markers and abnormal tumor markers as follows: The reasonable abnormal intervals of marker indicators corresponding to the L1 tumor marker to the Lc tumor marker are obtained respectively, and the reasonable intervals of the L1 marker indicators to the reasonable intervals of the Lc marker indicators are obtained; If the abnormal coefficient of the L1 marker index is within the reasonable range of the L1 marker index, the L1 tumor marker is marked as an abnormal tumor marker; if the abnormal coefficient of the L1 marker index is not within the reasonable range of the L1 marker index, the L1 tumor marker is marked as a normal tumor marker; If the abnormal coefficient of the Lc marker index is within the reasonable range of the Lc marker index, the Lc tumor marker is marked as an abnormal tumor marker. If the abnormal coefficient of the Lc marker index is not within the reasonable range of the Lc marker index, the Lc tumor marker is marked as a normal tumor marker.

9. The cancer patient rehabilitation monitoring system according to claim 1, characterized in that: The recovery status of the target tumor patients is assessed as follows: Obtaining the quantitative values of abnormal tumor markers and abnormal weight indexes respectively; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is greater than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker value is less than 0 and the abnormal weight index value is less than 0, the target cancer patient is judged to be in a qualified recovery state; If the abnormal tumor marker value is greater than 0 and the abnormal weight index value is less than 0, the target cancer patient's recovery status is judged to be unqualified; If the abnormal tumor marker quantity value is less than 0 and the abnormal weight index quantity value is greater than 0, it is judged that the recovery status of the target tumor patient is unqualified.

10. A method for monitoring the rehabilitation of cancer patients, applicable to a system for monitoring the rehabilitation of cancer patients according to any one of claims 1 to 9, characterized in that: The rehabilitation monitoring method comprises the following specific steps: Step S1: setting a weight monitoring period and several weight monitoring indicators for a target cancer patient, performing a periodic analysis of the weight monitoring indicators for the target cancer patient in the weight monitoring period, and obtaining the numerical value of the abnormal weight indicator according to the analysis results; Step S2: Setting a marker monitoring cycle and a number of tumor markers for the target tumor patient, performing periodic tumor marker analysis on the target tumor patient in the marker monitoring cycle, and obtaining abnormal tumor marker quantity values based on the analysis results; Step S3: Evaluate the recovery status of the target cancer patient based on the abnormal tumor marker quantity values and the abnormal weight index quantity values.

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