CN-122025136-A - Multi-parameter acceleration rehabilitation evaluation method for gastric cancer postoperative ERAS management

CN122025136ACN 122025136 ACN122025136 ACN 122025136ACN-122025136-A

Abstract

The invention discloses a multi-parameter accelerated recovery assessment method for gastric cancer postoperative ERAS management, which belongs to the technical field of medical data processing and comprises the steps of obtaining gastric cancer postoperative multi-source data of a patient, preprocessing and fusion analysis of the gastric cancer postoperative multi-source data of the patient to form gastric cancer postoperative fusion data of the patient, analyzing and identifying the gastric cancer postoperative fusion data of the patient according to a multi-parameter accelerated recovery assessment model, determining a multi-parameter accelerated recovery assessment result of the gastric cancer postoperative of the patient, and realizing dynamic risk assessment of gastric cancer postoperative recovery of the patient. The invention solves the problems of poor rehabilitation management effect of patients after gastric cancer operation caused by strong subjectivity and difficulty in comprehensively considering multidimensional data at the same time in the prior art. The invention does not lack quantitative standard for judging whether the patient reaches the standard, can comprehensively consider the multidimensional data such as laboratory indexes, vital signs, pain scores, activity and the like, and can improve the postoperative rehabilitation management effect of the gastric cancer of the patient.

Inventors

SUN TIANTIAN
HUANG LINGLI
BIAN YE
Zhu zhongxiu
TANG QIN
WANG SHU

Assignees

江苏省肿瘤医院

Dates

Publication Date: 20260512
Application Date: 20260202

Claims (8)

1. A multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erats management, comprising: Acquiring gastric cancer postoperative multisource data of a patient based on a data acquisition terminal, preprocessing and fusion analysis are carried out on the gastric cancer postoperative multisource data of the patient based on edge calculation, and gastric cancer postoperative fusion data of the patient are formed; based on artificial intelligence, a multi-parameter accelerated rehabilitation evaluation model is constructed, analysis and identification are carried out on fusion data of the gastric cancer of a patient after operation according to the multi-parameter accelerated rehabilitation evaluation model, a multi-parameter accelerated rehabilitation evaluation result of the gastric cancer of the patient after operation is determined, and dynamic risk evaluation of the gastric cancer of the patient after operation is realized.
2. The multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erats management according to claim 1, wherein the acquisition of gastric cancer postoperative multi-source data of a patient based on a data acquisition terminal comprises: The heart rate, the respiratory rate, the blood pressure, the blood oxygen saturation, the body temperature, the electrocardio waveform, the blood convention, the C-reactive protein, procalcitonin, the electrolyte and the liver and kidney functions of the patient after gastric cancer operation are monitored in real time, and vital sign physiological signals of the patient after gastric cancer operation are obtained; The method comprises the steps of monitoring the activities of getting out of bed, quantifying walking, limb functions and sleeping quality of a patient after gastric cancer operation in real time, and obtaining the functional indexes of the activity ability of the patient after gastric cancer operation; Monitoring intake, discharge, metabolism indexes and body components of a patient after gastric cancer operation in real time to obtain nutrition state metabolism indexes of the patient after gastric cancer operation; the method comprises the steps of monitoring pain intensity, pain relieving medication, gastrointestinal symptoms and other symptoms of a patient after gastric cancer operation in real time, and obtaining subjective reports of the pain symptoms of the patient after gastric cancer operation; Monitoring the emotional state, the rehabilitation confidence, the cognitive function and the social support of the patient after gastric cancer operation in real time to obtain the psychological and social psychological state of the patient after gastric cancer operation; and forming multi-source data of the gastric cancer of the patient after operation according to the vital sign physiological signals, activity capability function indexes, nutrition state metabolism indexes, pain symptom subjective reports and psychological and social psychological states of the gastric cancer of the patient after operation.
3. The multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative ERAS management according to claim 2, wherein the activities of getting down comprise time length, frequency, sitting, standing and walking states, the quantification of walking comprises steps, distance, speed and gait cycle, limb functions comprise grip strength and head lifting angle, and sleep quality comprises total time length, waking times and deep sleep proportion; The intake includes oral intake, fluid intake or semi-fluid intake, the discharge includes gastrointestinal decompression, drainage properties, drainage volume and urine volume, the metabolic index includes blood glucose, prealbumin and transferrin, the body composition includes body weight and extracellular moisture ratio; The pain intensity comprises resting, VAS or NRS scores during activities, analgesic drugs comprise opioid drugs and other analgesic drug amounts, gastrointestinal symptoms comprise nausea, vomiting, abdominal distension scores, first-time evacuation and defecation times, and other symptoms comprise fatigue degree and dyspnea scores; the emotional states include anxiety and depression scores, rehabilitation confidence includes self-efficacy scores for rehabilitation ability, cognitive functions include postoperative delirium screening scale scores, and social support includes visitor visit frequency and family support.
4. A multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erats management according to claim 3 wherein the pretreatment of patient gastric cancer postoperative multi-source data based on edge calculation is performed by: carrying out data cleaning on the postoperative multi-source data of the gastric cancer of the patient, wherein a time window is established, the postoperative multi-source data of the gastric cancer of the patient is mapped to the same time axis after the operation, noise in the postoperative multi-source data of the gastric cancer of the patient is removed, and missing values and abnormal values in the postoperative multi-source data of the gastric cancer of the patient are identified; evaluating the missing value and the abnormal value in the gastric cancer postoperative multi-source data of the patient, and judging whether the missing value and the abnormal value in the gastric cancer postoperative multi-source data of the patient are valuable for the multi-parameter acceleration rehabilitation evaluation of the patient; filling the missing value and correcting the abnormal value when the missing value and the abnormal value in the multi-source data of the gastric cancer of the patient are valuable for the multi-parameter accelerated rehabilitation evaluation of the patient, otherwise, deleting the missing value and the abnormal value; And normalizing the gastric cancer postoperative multisource data of the patient, wherein the gastric cancer postoperative multisource data of the patient with different dimensions are normalized and mapped to the [0,1] interval, and dimension differences among the gastric cancer postoperative multisource data of the patient are removed to form normalized gastric cancer postoperative multisource data of the patient.
5. The multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erat management of claim 4, wherein fusion analysis is performed on gastric cancer postoperative multi-source data of a patient based on edge calculation, and the following operations are performed: Extracting characteristics of multi-source data after gastric cancer operation of a patient, and extracting characteristic vectors related to multi-parameter accelerated rehabilitation evaluation of the patient from the multi-source data after gastric cancer operation of the patient, wherein the characteristic vectors comprise time sequence physiological characteristics, activity behavior characteristics, clinical symptom characteristics, nutrition metabolism characteristics and psychological state characteristics; Feature fusion is carried out on the extracted feature vectors, cross-modal feature association and weighted fusion are carried out on time sequence physiological features, activity behavior features, clinical symptom features, nutrition metabolism features and psychological state features based on feature level fusion, and gastric cancer postoperative fusion data of patients are formed.
6. The multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erat management of claim 5, wherein the multi-parameter accelerated rehabilitation assessment model is constructed based on artificial intelligence, and the following operations are performed: Collecting multi-parameter accelerated rehabilitation evaluation historical data according to multi-parameter accelerated rehabilitation evaluation requirements managed by ERAS after gastric cancer operation of a patient, and dividing the collected multi-parameter accelerated rehabilitation evaluation historical data, wherein the multi-parameter accelerated rehabilitation evaluation historical data is divided into a training set and a testing set; Training a machine learning model by adopting a training set, enabling the machine learning model to autonomously learn multi-parameter accelerated rehabilitation assessment behaviors for gastric cancer postoperative ERAS management from the training set, automatically assessing the multi-parameter accelerated rehabilitation condition of a patient after gastric cancer operation, and determining a multi-parameter accelerated rehabilitation assessment model; testing the multi-parameter accelerated rehabilitation assessment model by adopting a test set, assessing the generalization performance of the multi-parameter accelerated rehabilitation assessment model, and judging whether the multi-parameter accelerated rehabilitation assessment model can achieve the expected effect of automatically assessing the multi-parameter accelerated rehabilitation situation of a patient after gastric cancer operation; When the multi-parameter accelerating rehabilitation evaluation model cannot reach the expected effect of automatically evaluating the multi-parameter accelerating rehabilitation situation after gastric cancer operation of a patient, parameter adjustment and optimization are carried out on the multi-parameter accelerating rehabilitation evaluation model until the multi-parameter accelerating rehabilitation evaluation model can reach the expected effect of automatically evaluating the multi-parameter accelerating rehabilitation situation after gastric cancer operation of the patient, and the optimal multi-parameter accelerating rehabilitation evaluation model is determined.
7. The multi-parameter accelerated recovery assessment method for gastric cancer postoperative erats management of claim 6, wherein the following operations are performed by analyzing and identifying gastric cancer postoperative fusion data of a patient according to a multi-parameter accelerated recovery assessment model: The method comprises the steps of inputting gastric cancer postoperative fusion data of a patient into a multi-parameter accelerating rehabilitation evaluation model, analyzing and identifying the gastric cancer postoperative fusion data of the patient according to the multi-parameter accelerating rehabilitation evaluation model, automatically evaluating the gastric cancer postoperative multi-parameter accelerating rehabilitation condition of the patient, and determining a gastric cancer postoperative multi-parameter accelerating rehabilitation evaluation result of the patient.
8. The multi-parameter accelerated recovery assessment method for gastric cancer postoperative erats management of claim 7, wherein the gastric cancer postoperative recovery stage of the patient is determined according to the multi-parameter accelerated recovery assessment result after gastric cancer operation of the patient, and comprises an accelerated recovery period, a stationary observation period and a wind barrier diapause period; For the patient in the accelerated recovery period, marking a green transit label for the patient, and accelerating discharge according to a standard ERAS path; for patients in a stable observation period, labeling the patients with yellow attention labels, performing routine care and enhancing monitoring on the patients; for the patient in the period of wind barrier diapause, a red early warning label is marked for the patient, early warning is triggered, and the patient is subjected to intensified intervention and MDT consultation.

Description

Multi-parameter acceleration rehabilitation evaluation method for gastric cancer postoperative ERAS management Technical Field The invention relates to the technical field of medical data processing, in particular to a multi-parameter acceleration rehabilitation evaluation method for gastric cancer postoperative ERAS management. Background Accelerated rehabilitation surgery (erat) is proposed and implemented by danish scholars, and refers to a series of optimized treatment measures which are proved to be effective by evidence-based medicine and are adopted in the perioperative period for enabling patients to recover quickly, so that psychological and physiological wounds and stress responses of the patients are reduced, complications are reduced, hospitalization time is shortened, hospital risk is reduced, and medical cost is reduced. Accelerating rehabilitation surgery is a management mode of comprehensive application of multiple disciplines, and the optimized clinical path penetrates through the complete treatment process before hospitalization, before operation and after operation, and the core is to emphasize the diagnosis and treatment concept centering on the serving patient. Wherein, the rehabilitation process of gastric cancer postoperative patient is complicated, relates to multiple dimensions such as physiological function recovery, nutrition situation, pain management and complication prevention, and traditional ERAS management often relies on medical personnel's clinical experience and manual record, has following problem: The method has strong subjectivity, is lack of quantitative standard for judging whether patients reach standards, is easily influenced by personal experience of doctors, is difficult to comprehensively consider multi-dimensional data such as laboratory indexes, vital signs, pain scores, activity and the like, and causes poor postoperative rehabilitation management effect of gastric cancer of patients. Disclosure of Invention The invention aims to provide a multi-parameter acceleration rehabilitation evaluation method for gastric cancer postoperative ERAS management, which is used for judging whether a patient meets the standard or not without a quantification standard, and can comprehensively consider multi-dimensional data such as laboratory indexes, vital signs, pain scores, activity and the like, so that the gastric cancer postoperative rehabilitation management effect of the patient can be improved, and the problems in the background technology are solved. In order to achieve the above purpose, the present invention provides the following technical solutions: A multi-parameter accelerated rehabilitation assessment method for gastric cancer postoperative erats management, comprising: Acquiring gastric cancer postoperative multisource data of a patient based on a data acquisition terminal, preprocessing and fusion analysis are carried out on the gastric cancer postoperative multisource data of the patient based on edge calculation, and gastric cancer postoperative fusion data of the patient are formed; based on artificial intelligence, a multi-parameter accelerated rehabilitation evaluation model is constructed, analysis and identification are carried out on fusion data of the gastric cancer of a patient after operation according to the multi-parameter accelerated rehabilitation evaluation model, a multi-parameter accelerated rehabilitation evaluation result of the gastric cancer of the patient after operation is determined, and dynamic risk evaluation of the gastric cancer of the patient after operation is realized. Preferably, based on the data acquisition terminal obtain patient's stomach cancer postoperative multisource data, include: The heart rate, the respiratory rate, the blood pressure, the blood oxygen saturation, the body temperature, the electrocardio waveform, the blood convention, the C-reactive protein, procalcitonin, the electrolyte and the liver and kidney functions of the patient after gastric cancer operation are monitored in real time, and vital sign physiological signals of the patient after gastric cancer operation are obtained; The method comprises the steps of monitoring the activities of getting out of bed, quantifying walking, limb functions and sleeping quality of a patient after gastric cancer operation in real time, and obtaining the functional indexes of the activity ability of the patient after gastric cancer operation; Monitoring intake, discharge, metabolism indexes and body components of a patient after gastric cancer operation in real time to obtain nutrition state metabolism indexes of the patient after gastric cancer operation; the method comprises the steps of monitoring pain intensity, pain relieving medication, gastrointestinal symptoms and other symptoms of a patient after gastric cancer operation in real time, and obtaining subjective reports of the pain symptoms of the patient after gastric cancer operation; Monitoring the emotiona