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

作　　者：伍娅妮 孙蕾民[2] WU Ya-ni;SUN Lei-min(International Institutes of Medicine,The Fourth Affiliated Hospital,Zhejiang University School of Medicine,Yiwu 322000,China)

机构地区：[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

出　　处：《医师在线》2024年第6期86-91,共6页Journal of Doctors Online

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。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 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]