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The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning

Gastric Cancer Clinical Trial

Official title:
The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning

Clinical Trial Summary

Based on the gastric cancer database established earlier, this project explored the PG standard suitable for Chinese people, and further explored the establishment of machine learning model to stratify gastric cancer risk in the population, guide the frequency of gastroscopy screening, and extract important gastric cancer risk factors from it.Establish electronic health records of gastric organs, track the development and outcome of gastric diseases through deep learning method, in order to predict the development and outcome of gastric diseases;Then, the simulation hypothesis deductive method is used to compare the outcomes that may be caused by different lifestyles with the help of deep learning model, so as to guide patients to develop a better lifestyle and explore the establishment of health management paths for gastric cancer patients and high-risk groups in China.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04957407
Study type Observational
Source Second Affiliated Hospital, School of Medicine, Zhejiang University
Contact Yuling Tong, Dr.
Phone 1375821220
Email tongyl0313@zju.edu.cn
Status Recruiting
Phase
Start date January 1, 2019
Completion date December 31, 2022
View Details
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