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AI colon cancer risk early screening modeling method based on electronic medical record

A technology of electronic medical records and modeling methods, applied in the field of medical risk assessment, to achieve the effect of saving medical resources and screening with high accuracy

Pending Publication Date: 2022-07-08
SHANGHAI YUNXIANG MEDICAL TECH CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an AI colon cancer risk early screening modeling method based on electronic medical records, which has the advantages of large-scale, high-efficiency, and high-accuracy screening, and solves the problems mentioned in the background technology

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  • AI colon cancer risk early screening modeling method based on electronic medical record

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Embodiment Construction

[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] see figure 1 , the present invention provides a technical solution: an AI colon cancer risk early screening modeling method based on electronic medical records, comprising the following steps:

[0039] Step S1: establish an effective colon cancer risk early screening model;

[0040] Step S2: sorting out the sample data to be screened;

[0041] Step S3: Input the screening sample into the colon cancer early screening model to...

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Abstract

The invention discloses an AI colon cancer risk early screening modeling method based on an electronic medical record, and the method comprises the following steps: S1, building an effective colon cancer risk early screening model, S2, sorting to-be-screened sample data, and S3, inputting a to-be-screened sample into the colon cancer risk early screening model for model calculation and scoring, and finally obtaining a sample colon cancer risk early screening prediction result. The machine learning XGBoost algorithm is adopted to train the colon cancer early screening model, the colon cancer early disease probability score of the sample can be predicted according to the related medical features of the electronic medical record, the specificity, the sensitivity and the ROCAUC can reach up to 0.95, and the method has the advantages that large-scale, high-efficiency and high-accuracy screening can be carried out; the problem that at present, colon cancer risk screening needs to be conducted by examiners in hospitals, doctors conduct judgment according to clinical guidelines and practical experience, and consequently the examination efficiency is low is solved, and therefore medical resources can be effectively saved.

Description

technical field [0001] The invention relates to the technical field of medical risk assessment, in particular to an AI colon cancer risk early screening modeling method based on electronic medical records. Background technique [0002] Colon cancer is a common malignant tumor of the digestive tract that occurs in the colon. Colon cancer is closely related to the consumption of red meat. It occurs at the junction of the rectum and the sigmoid colon. The ratio of 2 to 3:1, the incidence of gastrointestinal tumors accounted for the third. Colon cancer is mainly adenocarcinoma, mucinous adenocarcinoma, undifferentiated carcinoma, and the general shape is polypoid and ulcerative. Colon cancer can develop in a circle along the intestinal wall, spread up and down along the longitudinal diameter of the intestinal canal, or infiltrate deep into the intestinal wall. In addition to lymphatic vessels, blood flow metastasis and local invasion, it can also be implanted in the abdominal c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16H50/30G16H10/60
CPCG16H50/50G16H50/30G16H10/60Y02A90/10
Inventor 陈利民金博金怡曹青
Owner SHANGHAI YUNXIANG MEDICAL TECH CO LTD
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