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Blood demand prediction method and device and blood management method and system

A forecasting method and demand technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of blood inventory limit, endangering the life safety of patients, difficulty in obtaining and timeliness, etc., to achieve accurate blood reservation and improve user The effect of experience

Inactive Publication Date: 2022-02-18
BEIJING FRIENDSHIP HOSPITAL CAPITAL MEDICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, when a patient needs blood transfusion, if he cannot obtain enough qualified blood in time, the patient's life may be directly endangered; Moreover, the preservation of blood needs to meet special requirements such as temperature, so there is a limit to the number of blood stocks

Method used

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  • Blood demand prediction method and device and blood management method and system
  • Blood demand prediction method and device and blood management method and system
  • Blood demand prediction method and device and blood management method and system

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Experimental program
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Embodiment 1

[0037] Embodiment 1 provides a blood requirement prediction method. The method can be used, for example, in hospitals and blood centers (blood banks), or in other scenarios with similar functions.

[0038] figure 1 It is a schematic diagram of the method for predicting blood demand in this embodiment. Such as figure 1 As shown, the method includes:

[0039] Step 101, based on the seasonal differential autoregressive moving average model with seasonal parameters, establishing a blood demand forecasting model;

[0040] Step 102, adjusting the blood demand prediction model by learning based on historical data related to blood use in the blood unit;

[0041] Step 103, according to the adjusted blood demand prediction model, the predicted value of blood demand is obtained.

[0042] In this embodiment, blood refers to blood products. Historical data related to blood usage may include a historical time series of blood usage. Among them, the historical time series can be divided ...

Embodiment 2

[0090] Embodiment 2 provides a blood management method. This method can be used, for example, in a blood transfusion department in a hospital, or in other scenarios with similar functions.

[0091] The content of the second embodiment that is the same as that of the first embodiment will not be repeated, and the content of the second embodiment that is different from the first embodiment will be described below.

[0092] image 3 is a schematic diagram of the blood management method in this embodiment. Such as image 3 As shown, the method includes:

[0093] Step 301, obtaining the predicted value of blood demand according to the blood demand prediction method;

[0094] Step 302, determine whether the blood is sufficient or not according to the predicted value of the blood demand, the current blood stock and the blood storage situation;

[0095] Step 303, giving an early warning and determining the blood reservation amount in the case of insufficient blood.

[0096] The ...

Embodiment 3

[0117] Embodiment 3 provides a blood requirement prediction device. The content of the third embodiment that is the same as that of the first embodiment will not be repeated, and the content of the third embodiment that is different from the first embodiment will be described below.

[0118] Figure 4 It is a schematic diagram of the blood requirement prediction device of this embodiment. Such as Figure 4 As shown, the blood demand prediction device 400 includes a model building unit 401 , a model adjustment unit 402 , and a predicted value acquisition unit 403 . The model building unit 401 establishes a blood demand prediction model based on the seasonal differential autoregressive moving average model of seasonal parameters; the model adjustment unit 402 adjusts the blood demand by learning based on historical data related to blood use in the blood unit Prediction model; the prediction value acquisition unit 403 obtains a prediction value of blood demand according to the...

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Abstract

The embodiment of the invention provides a blood demand prediction method and device and a blood management method and system. The blood demand prediction method comprises the following steps: establishing a blood demand prediction model based on a seasonal differential autoregression moving average model with seasonal parameters, and setting the seasonal parameters to be 7; adjusting the blood demand prediction model by learning based on historical data related to blood use in a blood use unit; and according to the adjusted blood demand quantity prediction model, obtaining a predicted value of the blood demand quantity. Through the method, the blood demand quantity can be automatically predicted, the prediction time consumption is reduced, and the prediction accuracy can be improved.

Description

technical field [0001] The present application relates to the technical fields of information prediction and information management, and in particular to a blood demand prediction method and device, and a blood management method and system. Background technique [0002] In public health, blood is a special resource. On the one hand, when a patient needs blood transfusion, if he cannot obtain enough qualified blood in time, the patient's life may be directly endangered; Moreover, the preservation of blood needs to meet special requirements such as temperature, so there is a limit to the amount of blood in stock. Therefore, it is necessary to predict the blood demand, so that the blood inventory can be adjusted based on the predicted value of the blood demand, so as to ensure sufficient blood volume for clinical use and reduce the waste of blood. [0003] Currently, the blood requirement is usually predicted manually. [0004] It should be noted that the above introduction ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/27G06N20/00
CPCG06Q10/04G06F30/27G06N20/00
Inventor 李小飞
Owner BEIJING FRIENDSHIP HOSPITAL CAPITAL MEDICAL UNIV
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