Kidney disease hemodialysis scheme customization method and system based on AI technology

Abstract

The invention discloses a kidney disease hemodialysis scheme customization method and system based on an AI technology. The method comprises the steps of arranging to-be-customized user data, and substituting the to-be-customized user data into a dialysis scheme generation model to generate one or more dialysis schemes; substituting to-be-customized user data and one or more dialysis schemes intoa hemodialysis abnormal condition evaluation model to obtain an abnormal condition evaluation result of the one or more dialysis schemes; determining a kidney disease hemodialysis customized scheme according to the abnormal condition evaluation result; wherein the hemodialysis abnormal condition evaluation model is obtained by training through a machine learning CART decision tree algorithm according to historical dialysis data. According to the invention, the machine learning model is established according to the historical dialysis data, the possible adverse reaction of the current body state of the patient in a certain dialysis scheme is predicted in advance, the personalized dialysis scheme is formulated, the dialysis risk is effectively minimized, the safety of the patient is ensured,and the medical care quality is improved.

Description

technical field [0001] The present invention relates to hemodialysis program customization technology, in particular to a method and system for customizing hemodialysis for renal diseases based on AI technology. Background technique [0002] Kidney disease is a general term for common diseases that seriously endanger human health, mainly including different types of nephritis, acute renal failure, kidney stones, renal cysts and so on. Patients with acute and chronic renal failure will use hemodialysis as an alternative treatment to drain blood from the body outside the body, remove metabolic waste from the body, and maintain electrolyte and acid-base balance. Hemodialysis is a highly professional and risky medical care behavior. Patients often have some adverse reactions during the dialysis cycle, and there will be some accidental and sudden changes during the dialysis process. In order to cope with the occurrence of some unexpected situations, a personalized dialysis plan ...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: Aiming at the problem that the artificial judgment ability of adverse reactions in existing hemodialysis cannot meet the actual early warning needs of patients with adverse reactions, this invention propos

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