机器学习在消化系统疾病诊治中的研究进展
Research progress of machine learning in the diagnosis and treatment of digestive system diseases
伍娅妮 1孙蕾民2
作者信息
- 1. 浙江大学国际健康医学研究院、浙江大学医学院附属第四医院,浙江义乌 322000
- 2. 浙江大学医学院附属邵逸夫医院消化内科,杭州 310016
- 折叠
摘要
机器学习是基于计算机算法从数据中学习后进行模型建立、验证并做出决策的过程,在复杂的数据处理中具有独特的优势.鉴于机器学习在医疗领域的广泛应用,本文回顾了近年消化系统疾病领域应用机器学习算法的相关文献,讨论机器学习模型如何应用于消化系统疾病诊疗,从而为精准医疗的实施提供参考.
Abstract
Machine learning is a process of model building,validation and decision making based on computer algorithms learning from data,which has unique advantages in complex data processing.Given the wide range of applications of machine learning in the medical field,this paper reviews recent literature on the application of machine learning algorithms related to the field of digestive system diseases and discusses how machine learning models can be applied to the diagnosis and treatment of digestive system diseases,so as to provide a reference for the implementation of precision medicine.
关键词
消化系统/机器学习/诊治/进展Key words
Digestive system/Machine learning/Diagnosis and treatment/Progress引用本文复制引用
出版年
2024
NETL
NSTL
万方数据