摘要
与传统的诊断方法相比,基于机器学习的诊断试验测量指标也有一定的差异。本文对目前机器学习诊断模型常用测量指标的定义、计算方法以及相关的统计推断进行详细阐述。希望对临床研究者有所裨益,使之能更好地评价机器学习诊断模型。
Machine learning-based diagnostic tests have certain differences of measurement indicators with traditional diagnostic tests.In this paper,we elaborate the definitions,calculation methods and statistical inferences of common measurement indicators of machine learning-based diagnosis models in detail.We hope that this paper will be helpful for clinical researchers to better evaluate machine learning diagnostic models.
作者
熊宇韬
钟程澜
曾维
郭际香
张韬
黄艳
汤炜
刘畅
XIONG Yutao;ZHONG Chenglan;ZENG Wei;GUO Jixiang;ZHANG Tao;HUANG Yan;TANG Wei;LIU Chang(State Key Laboratory of Oral Diseases&National Clinical Research Center for Oral Diseases&Department of Oral and Maxillofacial Surgery&Department of Evidence-Based Dentistry&"Medicine+Manufacturing"Center,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,P.R.China;Machine Intelligence Laboratory,College of Computer Science,Sichuan University,Chengdu 610065,P.R.China;Department of Epidemiology and Health Statistics,West China School of Public Health,Sichuan University,Chengdu 610041,P.R.China;Department of Information Management&Department of Dental Informatics,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2023年第8期963-969,共7页
Chinese Journal of Evidence-based Medicine
基金
四川省自然科学基金项目(编号:2022NSFSC0639)
四川省区域创新合作项目(编号:2020YFQ0012)
四川大学华西口腔医学院交叉学科创新项目(编号:RD-03-202303)
四川大学“医学+制造”中心探索项目。
关键词
诊断试验准确性研究
人工智能
机器学习
深度学习
统计描述
统计推断
Diagnostic test accuracy study
Artificial intelligence
Machine learning
Deep learning
Descriptive statistics
Inferential statistics