Machine learning paves the way toward the prevention of mental health crises

被引：0

作者：

Garriga, Roger ^{[1
]}

Matic, Aleksandar ^{[1
]}

机构：

[1] Koa Hlth, Barcelona, Spain

来源：

NATURE MEDICINE | 2022年 / 28卷 / 06期

关键词：

D O I：

10.1038/s41591-022-01820-4

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Experiencing a mental health crisis has a detrimental impact on a patient's life. A machine learning algorithm trained retrospectively with electronic health records can predict almost 60% of mental health crises 4 weeks in advance. Prospective evaluation of the algorithm in clinical practice reveals its potential to enable preemptive interventions.

引用

页码：1135 / 1136

页数：2

共 50 条

[41] Behavioral Modeling for Mental Health using Machine Learning Algorithms
Srividya, M.
Mohanavalli, S.
Bhalaji, N.
JOURNAL OF MEDICAL SYSTEMS, 2018, 42 (05)
[42] Machine Learning Methods for Clinical Forms Analysis in Mental Health
Strauss, John
Peguero, Arturo Martinez
Hirst, Graeme
MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, 2013, 192 : 1024 - 1024
[43] Machine learning in mental health: a scoping review of methods and applications
Shatte, Adrian B. R.
Hutchinson, Delyse M.
Teague, Samantha J.
PSYCHOLOGICAL MEDICINE, 2019, 49 (09) : 1426 - 1448
[44] Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey
Nash, Christian
Nair, Rajesh
Naqvi, Syed Mohsen
IEEE ACCESS, 2023, 11 : 86297 - 86317
[45] Machine learning in biosignals processing for mental health: A narrative review
Sajno, Elena
Bartolotta, Sabrina
Tuena, Cosimo
Cipresso, Pietro
Pedroli, Elisa
Riva, Giuseppe
FRONTIERS IN PSYCHOLOGY, 2023, 13
[46] Machine Learning and ADHD Mental Health Detection - A Short Survey
Nash, Christian
Nair, Rajesh
Naqvi, Syed Mohsen
2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022), 2022,
[47] Designing Contestability: Interaction Design, Machine Learning, and Mental Health
Hirsch, Tad
Merced, Kritzia
Narayanan, Shrikanth
Imel, Zac E.
Atkins, David C.
DIS'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON DESIGNING INTERACTIVE SYSTEMS, 2017, : 95 - 99
[48] Machine Learning for Mental Health in Social Media: Bibliometric Study
Kim, Jina
Lee, Daeun
Park, Eunil
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (03)
[49] Machine learning in mental health - getting better all the time
不详
NATURE MENTAL HEALTH, 2025, 3 (01): : 1 - 2
[50] Mental Health Diagnostic System using Machine Learning Model
Vaikole, Shubhangi
Ummadishetty, Smaran
Vaidya, Anushka
Keerthi, Chaitanya
JOURNAL OF ALGEBRAIC STATISTICS, 2022, 13 (02) : 1751 - 1756

← 1 2 3 4 5 →