Bridging the gap between data mining and medical applications

作     者：Simon James Fong 

作者机构：Associate ProfessorFaculty of Science and TechnologyUniversity of MacaoMacao SAR 999078China Adjunct ProfessorArtificial Intelligence Research InstituteChongqing Technology and Business UniversityChongqing 400067China Honouary Adjunct ProfessorICT CentreDurban University of TechnologyDurban 4001South Africa Senior Visiting ScholarDepartment of BioinformaticsMedical SchoolTsinghua UniversityBeijing 100084China 

出 版 物：《Medical Data Mining》 (TMR医学数据挖掘)

年 卷 期：2023年第6卷第2期

页      面：60-61页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：from any funding agency in the public commercial or not-for-profit sect.We thank Dr.Richard Shane Palmer for editing the English text of a draft of this manuscript 

主　　题：clinical mining holds 

摘      要：Artificial Intelligence(AI)is one of the most promising and rapidly evolving fields in modern *** is increasingly being applied to a wide range of domains,including medicine,where it holds enormous potential for improving patient care,reducing costs,and enhancing clinical *** area of AI that has shown great promise in the medical domain is data mining,which is the process of extracting useful information and knowledge from large data sets.