Intelligent nursing system and method for breast cancer postoperative patient

Through intelligent wearable devices, multi-dimensional physiological data of patients after breast cancer surgery are collected, and machine learning algorithms are used to predict the occurrence probability of lymphedema, and a personalized intelligent nursing plan is generated, which solves the problem of lack of multi-dimensional monitoring and personalized adjustment in the existing technology, improving the accuracy and effectiveness of postoperative care.

CN119541874APending Publication Date: 2025-02-28JILIN UNIVERSITY
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Patent Information

Application Number
CN202510105183.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-23
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The prior art lacks multi-dimensional and multi-angle comprehensive monitoring in postoperative care of breast cancer, and the rehabilitation plan lacks the ability to dynamically adjust individual differences, resulting in differences in rehabilitation effects.

Method used

The patient's postoperative physiological data is collected through intelligent wearable devices, and a multi-dimensional data correlation model is constructed in combination with machine learning algorithms to predict the probability of lymphedema, generate a personalized intelligent care plan, and conduct continuous monitoring and optimization.

Benefits of technology

The multi-dimensional data monitoring and dynamic adjustment of personalized nursing plans for patients with breast cancer after surgery has been achieved, and the accuracy and effectiveness of postoperative care has been improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a breast cancer postoperative patient intelligent nursing system and method, and relates to the technical field of intelligent nursing, and the method comprises the steps: collecting postoperative physiological data of a patient through an intelligent wearable device, and uploading the collected real-time data to a cloud platform; based on the postoperative physiological data of the patient, a lymphedema early prediction model is constructed through a machine learning algorithm, and the occurrence probability of lymphedema is predicted; generating a personalized intelligent nursing plan according to the early prediction result; physiological data of the patient is continuously monitored and compared with the intelligent nursing plan, and a real-time rehabilitation progress report is obtained. According to the method, the rehabilitation progress of the patient can be evaluated in real time according to comprehensive physiological data and motion data, intelligent personalized optimization can be carried out on the nursing plan through data feedback, and the accuracy and effect of postoperative nursing are greatly improved.
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Citation Information

Patent Citations

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