Scheme Design Of Intelligent Medical System

With the development of The Times and the improvement of hardware facilities,in order to solve the shortage of quality medical resources,patients to go to the hospital for a long time to queue up,random registration can not find the best doctor to treat their conditions,the delay of the condition caused by the lack of suitable doctors.In order to make full use of medical resources,so that doctors can also diagnose patients in their spare time,provide convenience for patients and improve the accuracy of diagnosis,we put forward a design scheme of intelligent medical system.After reading and analyzing relevant literature for a long time and conducting in-depth research on machine learning and deep learning,the design scheme of the system was finally proposed.The system is built on the cloud platform to increase the system capacity and tolerable pressure,improve the speed of operation.In terms of functions,there are intelligent triage,disease diagnosis,intelligent question-and-answer,doctor online diagnosis,online registration,communication between patients,doctor-patient communication,online payment,map navigation and other functions.This system first through the method of machine learning to the patient input text version of the condition description,voice version of the condition description,laboratory sheet and other medical image materials to identify and analyze the disease of the patient.After that,the matching degree of doctors and patients is calculated based on the analysis of doctors’ expertise,the evaluation of patients with the same disease in history and the satisfaction of doctors with the assignment.The matching degree of doctors and patients is arranged in order of the matching degree from high to low for patients to choose.Patients can choose multiple doctors to diagnose themselves at the same time,and the system can also integrate the diagnosis results of multiple doctors and the system according to the needs of patients,so as to facilitate patients to understand their diseases.The system also sets up an intelligent question-answering module,which analyzes the patient’s inquiring intention through the method of tag matching,and then uses the algorithm to give feedback to the patient’s questions.System design is completed,inviting medical,computer,many experts in the field of economic management system solutions for the demonstration of feasibility and practicability,experts believe that the design of this system is clear,fully functional,technical scheme is feasible,and can better solve the current problems existing in the medical field,has higher application value.