The use of machine learning and multiomics to predict the response to a lifestyle modification program in cirrhosis

使用机器学习和多组学来预测肝硬化生活方式改变计划的反应

• 批准号: 412825
• 负责人: Hassanzadeh Keshteli Ammar
• 金额: $ 9.83万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Fellowship Programs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-10-01 至 2022-10-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=412825&lang=en
• 关键词: Artificial Intelligence; Bioinformatics; End-Stage Liver Disease; Exercise; Machine Learning; Malnutrition; Metabolomics; Microbiota; Nutrition; Precision Medicine

Cirrhosis is the end stage for most liver diseases. It is caused by a build up of scar tissue and results in a gradual loss of liver function. A minority of patients are candidates for liver transplantation. As cirrhosis advances, most patients experience

肝硬化是大多数肝脏疾病的终末期。它是由疤痕组织的积累引起的，并导致肝功能的逐渐丧失。少数患者是肝移植的候选人。随着肝硬化的进展，大多数患者会经历