Intelligent interrogation system based on XGBoost disease prediction and method

A kind of disease and intelligent technology, which is applied in the direction of medical automatic diagnosis, instrument, character and pattern recognition, etc., can solve the problem of inability to accurately analyze and predict massive patient data, and achieve the reduction of medical accidents, high accuracy and timeliness, and high Timeliness effect

Inactive Publication Date: 2019-08-09
闻康集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To this end, the embodiment of the present invention provides an intelligent consultation system and method based on XGBoost disease prediction to solve the problem that existing intelligent consultation products cannot accurately analyze and predict massive patient data

Method used

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  • Intelligent interrogation system based on XGBoost disease prediction and method
  • Intelligent interrogation system based on XGBoost disease prediction and method
  • Intelligent interrogation system based on XGBoost disease prediction and method

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Embodiment 1

[0038] like figure 1 As shown, this embodiment proposes an intelligent consultation system based on XGBoost disease prediction, which includes a client 100 and a server 200 connected through a network.

[0039] The client 100 includes a consultation module 110 and a display module 120 .

[0040] The consultation module 110 is used to obtain the basic information and symptom information of the patient by simulating the question-and-answer interaction between the doctor and the patient. Basic information includes gender, age, pregnancy status, past medical history, past medication history, and drug allergy history.

[0041] The display module 120 is used to receive and display the predicted disease information and predicted disease probability value sent by the server 200 .

[0042] The server 200 includes a data processing module 210 , a data storage module 220 and an XGBoost disease prediction module 230 .

[0043] The data processing module 210 is used to obtain the basic ...

Embodiment 2

[0078] Corresponding to the above-mentioned embodiment 1, this embodiment proposes an intelligent consultation method based on XGBoost disease prediction, which includes:

[0079] S100, the client terminal 100 obtains the patient's basic information and symptom information by simulating the question-and-answer interaction between the doctor and the patient;

[0080] S200, the server 200 obtains the basic patient information and symptom information data of the client 100 for processing;

[0081] S300, the server 200 inputs the processed patient symptom information data into the trained XGBoost multi-classification model, outputs the predicted value of the disease probability and the predicted disease information, and sends them to the client 100;

[0082] S400. The client 100 receives and displays the predicted disease information and predicted disease probability value sent by the server 200 .

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Abstract

An embodiment of the invention discloses an intelligent interrogation system based on XGBoost disease prediction and a method. The system comprises a client and a service end which are connected through a network. The client comprises an interrogation module and a display module. The service end comprises a data processing module, a data storage module and an XGBoost disease predicting module. Through inputting patient symptom information which is acquired by a client into a trained XGBoost multi-class model, a disease probability predicted value and predicted disease information are output. Furthermore the patient can directly check the related information on the client. Based on machine learning and big data technology, a self-service diagnosis service of the patient can be realized. Thesystem and the method further have advantages of supporting intelligent analysis and prediction on mass patient data, realizing high accuracy and high timeliness in prediction, and realizing simple operation and low cost.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of disease prediction and diagnosis, and in particular to an intelligent interrogation system and method based on XGBoost disease prediction. Background technique [0002] Due to the shortage of medical resources and uneven matching distribution, it is difficult and expensive for ordinary people to see a doctor. The intelligent consultation product is an artificial intelligence system that can provide self-service consultation and diagnosis services for patients, and can assist doctors to conduct consultations with patients. Effectively reduce the patient's visit time and money costs, and improve the doctor's diagnosis and treatment efficiency. Existing intelligent consultation products are still at the stage of inferring diseases based on symptoms, and can cope with a small number of symptoms and diseases. When faced with hundreds or thousands of massive big data, it is difficult t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06K9/62
CPCG16H50/20G06F18/214
Inventor 黄海涛郑早明肖俊许高峰王婧
Owner 闻康集团股份有限公司
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