Machine learning in mental health and its relationship with epidemiological practice

被引:0
作者
DelPozo-Banos, Marcos [1 ]
Stewart, Robert [2 ,3 ]
John, Ann [1 ]
机构
[1] Swansea Univ, Med Sch, Swansea, Wales
[2] Kings Coll London, Inst Psychiat Psychol & Neurosci, London, England
[3] South London & Maudsley Natl Hlth Serv NHS Fdn Tru, London, England
基金
英国医学研究理事会;
关键词
mental health; epidemiology; machine learning; research methods; challenges and opportunities; VALIDATION; MODELS;
D O I
10.3389/fpsyt.2024.1347100
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
[No abstract available]
引用
收藏
页数:5
相关论文
共 46 条
[1]   A clinician's guide to understanding and critically appraising machine learning studies: a checklist for Ruling Out Bias Using Standard Tools in Machine Learning (ROBUST-ML) [J].
Al-Zaiti, Salah S. ;
Alghwiri, Alaa A. ;
Hu, Xiao ;
Clermont, Gilles ;
Peace, Aaron ;
Macfarlane, Peter ;
Bond, Raymond .
EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2022, 3 (02) :125-140
[2]  
[Anonymous], 2019, BBC NEWS
[3]   The iceberg model of self-harm: new evidence and insights [J].
Arensman, Ella ;
Corcoran, Paul ;
McMahon, Elaine .
LANCET PSYCHIATRY, 2018, 5 (02) :100-101
[4]   Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies [J].
Banerjee, Soumya ;
Alsop, Phil ;
Jones, Linda ;
Cardinal, Rudolf N. .
PATTERNS, 2022, 3 (06)
[5]   The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database [J].
Benjamens, Stan ;
Dhunnoo, Pranavsingh ;
Mesko, Bertalan .
NPJ DIGITAL MEDICINE, 2020, 3 (01)
[6]  
Castelvecchi D, 2016, NATURE, V537, P20, DOI [10.1038/538020a, 10.1038/nature.2016.20491, 10.1038/538020a]
[7]  
cataloguementalhealth, Catalogue of mental health measures
[8]   How to develop machine learning models for healthcare [J].
Chen, Po-Hsuan Cameron ;
Liu, Yun ;
Peng, Lily .
NATURE MATERIALS, 2019, 18 (05) :410-414
[9]  
Chivers C., 2019, VECT SICKKIDS HLTH A
[10]   Transdiagnostic Approaches to Mental Health Problems: Current Status and Future Directions [J].
Dalgleish, Tim ;
Black, Melissa ;
Johnston, David ;
Bevan, Anna .
JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 2020, 88 (03) :179-195