A data analysis-based method and system for assisting eating decisions

Abstract

This invention provides a data analysis-based method and system for assisting eating decisions, belonging to the field of data processing technology. Specifically, it includes: when it is determined that the identification and processing plan for a patient's swallowing ability needs to be updated based on the evaluation and processing results, when it is determined that the recommended food type can be adjusted based on the evaluation and analysis results obtained from the identification and processing plan, and based on the detection date and usage data of the recommended food type, determining the recommended food type for the patient, thereby improving the timeliness of updating the patient's eating strategy.

Description

Technical Field

[0001] This invention belongs to the field of data processing technology, and in particular relates to a data analysis-based method and system for assisting eating decisions. Background Technology

[0002] Certain surgeries, such as thyroid / neck surgery, pharyngeal tumor removal, and esophageal cancer surgery, inevitably affect a patient's swallowing ability. Therefore, ordinary diet plans are often difficult to match with the user's swallowing ability and thus fail to meet the user's eating needs.

[0003] Existing technical solutions often use the Kubota water swallowing test to determine the recommended food type for patients. However, since the Kubota water swallowing test is conducted periodically, if too much time has passed between the next test date, even if the patient's swallowing ability has improved significantly, it is impossible to adjust the recommended food type in a timely and effective manner. On the one hand, long-term use of unconventional foods can lead to a poor patient experience, and on the other hand, it may also cause the patient to fail to obtain nutrition effectively, which is not conducive to the recovery of the condition.

[0004] Therefore, there is an urgent need for a data analysis-based method and system to assist in eating decisions. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted:

[0006] Specifically, this application provides a data analysis-based method for assisting eating decisions, which includes:

[0007] S1 uses the patient's swallowing ability test data to determine the recommended food type for the patient, and based on the matching of the recommended food type with the swallowing ability test date, determines the patients who need swallowing ability identification processing, and performs evaluation and analysis processing of the patient's swallowing ability based on a preset strategy.

[0008] S2 If, based on the assessment results, it is determined that the identification and processing plan for the patient's swallowing ability needs to be updated, and based on the assessment and analysis results obtained from the identification and processing plan, it is determined that the recommended food type can be adjusted, then proceed to the next step.

[0009] S3 determines the recommended treatment strategy for the patient's recommended food type based on the detection date and the usage data of the recommended food type.

[0010] The beneficial effects of this invention are as follows:

[0011] Based on the evaluation results, it is determined whether the patient's swallowing ability identification and processing scheme needs to be updated. This avoids the technical problem of low identification and processing efficiency caused by using the same swallowing ability identification and processing scheme for a long time, when the patient's swallowing ability is suspected to have improved. This ensures that the identification and processing scheme can be adjusted in a targeted manner when the patient's swallowing ability is suspected to have improved, reducing the data processing pressure on the server while ensuring the efficiency of the patient's swallowing ability identification and processing.

[0012] By utilizing data on the testing date and the use of recommended food types, a treatment strategy for patients' recommended food types was determined. This allowed for the assessment of the need for changes in the recommended treatment strategy based on the interval since the testing date and the frequency of use of the recommended food types. Thus, while ensuring the patient's dietary safety, updating the food types during certain parts of the diet can improve the efficiency of identifying and processing the patient's swallowing ability, laying the foundation for further changes in recommended food types.

[0013] Furthermore, the swallowing ability test data were determined based on the test results of the Kubota drinking water test.

[0014] Furthermore, the recommended food type for the patient is determined based on the test results of the Kubota water test.

[0015] Furthermore, the date of the swallowing ability test is the date of the patient's next Kubota water swallowing test.

[0016] Furthermore, the method for determining the patient requiring swallowing ability identification is as follows:

[0017] Based on the date of the swallowing ability test, determine the duration of the interval between the patient's test date and the current date;

[0018] Based on the matching of the interval duration with the recommended food type, it is determined whether the patient is a patient who needs swallowing ability identification processing.

[0019] Specifically, the identification and processing scheme for determining the patient's swallowing ability needs to be updated, including:

[0020] Based on the assessment results, the patient's repeated swallowing data during the eating process were determined;

[0021] Based on the repeated swallowing data, it is determined that there was no repeated swallowing during the most recent preset number of eating sessions;

[0022] The identification and processing scheme for determining the patient's swallowing ability needs to be updated if there are no repeated swallowing processes during the most recent preset number of meals.

[0023] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned data analysis-based assisted feeding decision method when running the computer program.

[0024] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0025] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0026] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0027] Figure 1 This is a flowchart of a data analysis-based method for assisting eating decisions;

[0028] Figure 2 This is a flowchart illustrating the methods for identifying and processing patients who require swallowing ability.

[0029] Figure 3 This is a flowchart that needs to be updated to determine the patient's swallowing ability identification and treatment plan;

[0030] Figure 4 A flowchart to determine which food types can be adjusted. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0032] Example 1

[0033] like Figure 1 As shown, this application provides a data analysis-based method for assisting eating decisions, specifically including:

[0034] S1 uses the patient's swallowing ability test data to determine the recommended food type for the patient, and based on the matching of the recommended food type with the swallowing ability test date, determines the patients who need swallowing ability identification processing, and performs evaluation and analysis processing of the patient's swallowing ability based on a preset strategy.

[0035] Furthermore, the date of the swallowing ability test is the date of the patient's next Kubota water swallowing test.

[0036] Specifically, such as Figure 2 As shown, the method for determining patients requiring swallowing ability identification is as follows:

[0037] Based on the date of the swallowing ability test, determine the duration of the interval between the patient's test date and the current date;

[0038] Based on the matching of the interval duration with the recommended food type, it is determined whether the patient is a patient who needs swallowing ability identification processing.

[0039] It should be noted that if the recommended food type for the patient is not part of their regular diet, then the user's diet will be restricted, resulting in inconvenience. Therefore, if the patient's swallowing ability is not identified, and the interval between meals becomes too long, for example, longer than the preset interval, it will inevitably lead to inconsistent diet and affect nutrient intake. Therefore, it is necessary to identify the patient's swallowing ability during the meal, using a monitoring device to identify the patient's swallowing ability, so as to update the recommended food type in a timely manner.

[0040] It is understood that the preset duration can be a fixed duration, which is determined based on the user's settings.

[0041] Specifically, the preset strategy involves identifying and processing the patient's swallowing ability at fixed time periods, such as the lunch and dinner meal times. In one possible embodiment, the lunch meal time can be set between 11:00 and 2:00, and the dinner meal time can be set between 5:00 and 8:00.

[0042] Furthermore, the patient's swallowing ability is assessed and analyzed based on a pre-defined strategy, specifically including:

[0043] During a fixed time period, the patient's repeated swallowing during eating is captured based on monitoring images from a monitoring device, and the patient's swallowing ability is assessed and analyzed using the repeated swallowing data.

[0044] Specifically, the assessment results include the number of times the patient swallows repeatedly during the eating process.

[0045] S2 If, based on the assessment results, it is determined that the identification and processing plan for the patient's swallowing ability needs to be updated, and based on the assessment and analysis results obtained from the identification and processing plan, it is determined that the recommended food type can be adjusted, then proceed to the next step.

[0046] Specifically, such as Figure 3 As shown, the identification and processing scheme for determining the patient's swallowing ability needs to be updated, specifically including:

[0047] Based on the assessment results, the patient's repeated swallowing data during the eating process were determined;

[0048] Based on the repeated swallowing data, it is determined that there was no repeated swallowing during the most recent preset number of eating sessions;

[0049] The identification and processing scheme for determining the patient's swallowing ability needs to be updated if there are no repeated swallowing processes during the most recent preset number of meals.

[0050] It should be noted that the recent preset number is determined according to the user's settings and reflects the patient's swallowing ability under the current recommended food type. This allows for timely adjustment of the recommended food type when the patient's swallowing ability has significantly improved, determining whether the patient is ready to adjust the recommended food type. This is of great significance for timely adjustment of the test date for the Kubota water swallowing test in the later stage, reducing the impact on the patient.

[0051] Specifically, the identification and processing scheme for determining the patient's swallowing ability based on the absence of repeated swallowing during a recent preset number of meals includes:

[0052] If the most recent preset number of eating sessions are all eating sessions without repeated swallowing, it indicates that the patient's swallowing ability may have improved. Therefore, based on this, it is determined that the patient's swallowing ability identification and processing scheme needs to be updated. That is, the patient's swallowing ability identification and processing scheme should be carried out throughout the day to further clarify the improvement of the patient's swallowing ability.

[0053] Additionally, it is understandable that if the recent preset number of eating sessions do not all involve repeated swallowing, then the patient's swallowing ability identification and processing plan will not be updated temporarily.

[0054] Specifically, such as Figure 4As shown, adjustments to the recommended food types can be made, specifically including:

[0055] Based on whether the type of food consumed by the patient during the eating process is a regular diet, the eating process is divided into regular eating process and other eating process;

[0056] It should be noted that if the patient does not experience repeated swallowing during routine meals, it indicates a high probability that the patient's swallowing ability has improved. Therefore, by adjusting the recommended food types in a timely manner, it is possible to determine whether the user's swallowing ability has improved, and thus, the test date of the Kubota water swallowing test can be adjusted in a timely and effective manner.

[0057] Based on the identification and evaluation results obtained using the identification processing scheme during the regular eating process, it is determined that there is no repeated swallowing during the regular eating process, and this is regarded as a normal eating process.

[0058] Based on the data from the normal eating process, determine whether the recommended food types can be adjusted.

[0059] It should be noted that when the number of normal eating processes meets the requirements, such as exceeding a certain threshold, it is then determined that the recommended food type can be adjusted.

[0060] S3 determines the recommended treatment strategy for the patient's recommended food type based on the detection date and the usage data of the recommended food type.

[0061] Optionally, the method for determining the recommended treatment strategy for the patient's recommended food type is as follows:

[0062] Based on the detection date, determine the duration of the interval between the current date and the detection date;

[0063] Based on the patient's usage data of recommended food types, determine the patient's eating process in the recommended food types and use it as a matching eating process;

[0064] Using the interval duration and the number of times the eating process was matched, a recommended treatment strategy for the recommended food type for the patient was determined.

[0065] Specifically, if the interval between the current date and the test date is less than a preset time threshold, such as less than 36 hours, then since the test can be conducted immediately, in order to ensure the patient's food safety, the recommended treatment strategy for the patient's recommended food type is determined to be no adjustment required.

[0066] Additionally, it can be understood that if the interval between the current date and the detection date is not less than a preset duration threshold, and if the number of times the matching eating process is within a preset range, then because the number of matching eating processes is relatively large, a second recommendation strategy is adopted to recommend the patient's recommended food type.

[0067] Furthermore, if the number of times the matched eating process is not within a preset range, then the recommended treatment strategy for the recommended food type of the patient is determined to be the first recommended strategy.

[0068] In one possible specific embodiment:

[0069] If the recommended food type for a patient is not part of their regular diet and the interval is longer than two weeks, it is determined that the patient's swallowing ability needs to be identified. That is, during the patient's eating process, the patient's swallowing ability is identified using a monitoring device, so that the recommended food type can be updated in a timely manner.

[0070] If the patient's swallowing ability identification and processing scheme needs to be updated if the most recent four eating sessions do not all involve repeated swallowing, then the patient's swallowing ability identification and processing scheme will not be updated temporarily. If the number of normal eating sessions is more than three, then it is determined that the recommended food type can be adjusted.

[0071] If the number of matching eating processes is not less than 15, then a second recommendation strategy is adopted to recommend food types for the patient because the number of matching eating processes is relatively large. If the number of matching eating processes is not within a preset range, then the first recommendation strategy is determined to be the recommended food type for the patient.

[0072] Example 2

[0073] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned data analysis-based assisted feeding decision method when running the computer program.

[0074] Furthermore, it was determined that adjustments could be made to the recommended food types, specifically including:

[0075] Based on whether the type of food consumed by the patient during the eating process is a regular diet, the eating process is divided into regular eating process and other eating process;

[0076] It should be noted that if the patient does not experience repeated swallowing during routine meals, it indicates a high probability that the patient's swallowing ability has improved. Therefore, by adjusting the recommended food types in a timely manner, it is possible to determine whether the user's swallowing ability has improved, and thus, the test date of the Kubota water swallowing test can be adjusted in a timely and effective manner.

[0077] Based on the identification and evaluation results obtained using the identification processing scheme during the regular eating process, it is determined that there is no repeated swallowing during the regular eating process, and this is regarded as a normal eating process.

[0078] In one possible embodiment, the above steps also include the following:

[0079] Understandably, when there is no repeated swallowing during regular meals, the user's swallowing ability has significantly improved, so it can be directly determined that the recommended food type can be adjusted.

[0080] It should also be noted that if repeated swallowing occurs during a regular meal, and the number of repeated swallowings does not meet the required number, then the recommended food type should not be adjusted.

[0081] Even if the number of repeated swallows in all regular eating processes meets the requirements, if repeated swallowing occurs in different regular eating processes, it is determined that the recommended food type cannot be adjusted. Only when there is a normal eating process, and if the number of times the normal eating process is within the preset range, it is determined that the recommended food type can be adjusted.

[0082] Based on the identification and evaluation analysis results of the eating process obtained using the aforementioned identification processing scheme, as well as normal eating process data, it can be determined whether the recommended food type can be adjusted.

[0083] It should be noted that, based on the identification and evaluation analysis results of the eating process obtained using the aforementioned identification processing scheme and normal eating process data, it is determined whether the recommended food type can be adjusted, specifically including:

[0084] Based on the identification and evaluation analysis results of the eating process obtained using the aforementioned identification processing scheme, eating processes in which repeated swallowing occurs are identified;

[0085] Improvement factors were determined based on the proportion of eating processes in which no repeated swallowing occurred among all eating processes;

[0086] Based on the quantity and improvement factors of the normal eating process, the patient's ability improvement matching value is determined, and based on the ability improvement matching value, it is determined whether the recommended food type can be adjusted.

[0087] In one possible specific embodiment, the ability improvement matching value is determined based on the output of a mathematical model of analytic hierarchy process with the number of normal feeding processes and the improvement factor as input, and its value ranges from 0 to 1. The larger the ability improvement matching value, the greater the probability of improved swallowing ability.

[0088] It should be noted that when the ability improvement matching value is within the preset matching value range, since the ability improvement matching value is relatively large, it is determined that the recommended food type can be adjusted accordingly.

[0089] Example 3

[0090] Furthermore, the method for determining the recommended treatment strategy for the patient's recommended food type is as follows:

[0091] Based on the detection date, determine the duration of the interval between the current date and the detection date;

[0092] In one possible specific embodiment, in the above steps, if the interval between the current date and the detection date is less than a preset duration threshold, i.e., the duration is too short, then since the experiment can be carried out immediately, in order to ensure the patient's food safety, the recommended treatment strategy for the recommended food type of the patient is determined to be no adjustment required.

[0093] By judging the interval length, while ensuring the safety of patients' food intake, it is also possible to adjust the recommended food type in a timely manner when the interval is too long, thus achieving a balance between food intake safety and the reliability of patients' nutritional acquisition.

[0094] Based on the patient's usage data of recommended food types, determine the patient's eating process in the recommended food types and use it as a matching eating process;

[0095] It should be noted that, in a possible specific embodiment, if the number of times the matching feeding process is insufficient, i.e., too few, then even if the recommended food type is continued for feeding, it will not have a significant impact on the patient's convenience, nor will it affect the acquisition of nutrients. Therefore, it is determined that the recommended feeding strategy for the patient's recommended food type does not require adjustment.

[0096] In the above steps, by combining the matching eating process with the adjustment of the recommended treatment strategy, it is possible to avoid adjusting the recommended food type when the matching eating process using the recommended food type is used infrequently, which could compromise the patient's eating safety.

[0097] Using the interval duration and matched eating process data, a recommended treatment strategy for the patient's recommended food type is determined.

[0098] It should be noted that the recommended treatment strategy for determining the recommended food type for the patient, using the aforementioned interval duration and matched eating process data, specifically includes:

[0099] If the number of times the matched eating process meets the requirements and the interval between the current date and the detection date is not less than a preset time threshold, then if the interval between the current date and the detection date is greater than the preset interval time threshold, the first recommendation strategy is adopted to recommend the recommended food type for the patient.

[0100] It should be noted that the first recommended strategy is to recommend the use of recommended food types for the next meal if no regular eating process is detected within the most recent preset time period, such as 6 hours, in order to determine the patient's true swallowing ability.

[0101] Furthermore, if the interval between the current date and the detection date is not greater than a preset interval threshold, and if the number of times the matching eating process is within a preset range, then because the number of matching eating processes is relatively large, a second recommendation strategy is adopted to recommend the patient's recommended food type.

[0102] It should be noted that the second recommended strategy is to use the recommended food types for the rest of the eating process.

[0103] Furthermore, if the number of times the matched eating process is not within a preset range, a recommended treatment demand factor is determined based on the number of times the matched eating process and the interval duration, and a recommended treatment strategy for the recommended food type of the patient is determined based on the recommended treatment demand factor.

[0104] Furthermore, the recommendation processing demand factor is related to the number of matching eating processes and the interval duration. The more matching eating processes there are and the longer the interval duration, the larger the recommendation processing demand factor becomes. In one possible embodiment, it can be determined by the sum of the number of matching eating processes and the interval duration after normalization. The normalization process involves normalizing both the number of matching eating processes and the interval duration to between 0 and 1. Specifically, it can be determined by the ratio of the number of matching eating processes to a preset number of matching eating processes and the ratio of the interval duration to a preset interval duration.

[0105] In another possible embodiment, the recommendation processing demand factor is determined by the sum of the products of the number of matching eating processes, the interval duration after dimensional normalization, and a preset coefficient. In one possible embodiment, the factor is determined by the sum of the products of the number of matching eating processes and the preset coefficient, and the interval duration and the preset coefficient, wherein the preset coefficient can be 0.1.

[0106] Specifically, when the recommended processing demand factor is greater than a preset demand factor threshold, the recommended processing strategy for the patient's recommended food type is determined to be the first recommended strategy; if the recommended processing demand factor is not greater than the preset demand factor threshold, it is determined to be the second recommended strategy.

[0107] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0108] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0109] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A data-driven method for assisting eating decisions, characterized in that, Specifically, it includes: Based on the patient's swallowing ability test data, the recommended food type for the patient is determined. Based on the matching of the recommended food type with the swallowing ability test date, the patients who need swallowing ability identification processing are identified. The patient's swallowing ability is evaluated and analyzed based on a preset strategy. If, based on the assessment results, it is determined that the identification and treatment plan for the patient's swallowing ability needs to be updated, and based on the assessment and analysis results obtained from the identification and treatment plan, it is determined that the recommended food type can be adjusted, then proceed to the next step. Based on the detection date and the usage data of the recommended food types, the recommended treatment strategy for the patient's recommended food types is determined; The process involves identifying the patient's swallowing ability during the eating process using a monitoring device, which allows for timely updates to recommended food types. The proposed method for identifying and processing a patient's swallowing ability involves performing this identification and processing throughout the day.

2. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The swallowing ability test data were determined based on the test results of the Kubota drinking water test.

3. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The recommended food types for the patients were determined based on the results of the Kubota water test.

4. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The date of the swallowing ability test is the date of the patient's next Kubota water swallowing test.

5. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The method for identifying patients who require swallowing ability assessment is as follows: Based on the date of the swallowing ability test, determine the duration of the interval between the patient's test date and the current date; Based on the matching of the interval duration with the recommended food type, it is determined whether the patient is a patient who needs swallowing ability identification processing.

6. The data analysis-based assisted eating decision-making method as described in claim 5, characterized in that, If the patient's recommended food type is not part of their regular diet, and the interval between meals exceeds a preset time, it is determined that the patient's swallowing ability needs to be assessed.

7. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The preset strategy involves identifying and processing the patient's swallowing ability at fixed time intervals.

8. The data analysis-based assisted eating decision-making method as described in claim 1, characterized in that, The method for determining the recommended treatment strategy for the patient's recommended food type is as follows: Based on the detection date, determine the duration of the interval between the current date and the detection date; Based on the patient's usage data of recommended food types, determine the patient's eating process in the recommended food types and use it as a matching eating process; Using the interval duration and matched eating process data, a recommended treatment strategy for the patient's recommended food type is determined.

9. The data analysis-based assisted eating decision-making method as described in claim 8, characterized in that, Using the interval duration and matched eating process data, a recommended treatment strategy for the patient's recommended food type is determined, specifically including: If the number of times the matched eating process is not within the preset range, a recommended treatment demand factor is determined based on the number of times the matched eating process and the interval duration, and a recommended treatment strategy for the recommended food type of the patient is determined based on the recommended treatment demand factor. When the recommended treatment demand factor is greater than a preset demand factor threshold, the recommended treatment strategy for the patient's recommended food type is determined to be the first recommended strategy; if the recommended treatment demand factor is not greater than the preset demand factor threshold, it is determined to be the second recommended strategy.

10. A computer system, comprising: A memory and processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a data analysis-based assisted feeding decision method as described in any one of claims 1-9.

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