Spots Global Cancer Trial Database for The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning
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Trial Identification
Brief Title: The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning
Official Title: The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning
Study ID: NCT04957407
Interventions
Study Description
Brief 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.
Detailed Description:
Keywords
Eligibility
Minimum Age: 25 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, , China
Ningbo cadres health center, Ningbo, , China
Contact Details
Name: Yuling Tong, Dr.
Affiliation: 2nd affiliated hospital of Zhejiang University, school of medicine
Role: PRINCIPAL_INVESTIGATOR
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