Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank
BackgroundSuicidal behaviors, including suicide deaths and attempts, are major public health concerns. However, previous suicide models required a huge amount of input features, resulting in limited applicability in clinical practice. ObjectiveWe aimed to construct applicable models (ie, with limite...
Saved in:
Main Authors: | Junren Wang (Author), Jiajun Qiu (Author), Ting Zhu (Author), Yu Zeng (Author), Huazhen Yang (Author), Yanan Shang (Author), Jin Yin (Author), Yajing Sun (Author), Yuanyuan Qu (Author), Unnur A Valdimarsdóttir (Author), Huan Song (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2023-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach
by: Kenneth Chi-Yin Wong, et al.
Published: (2021) -
Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank
by: Shuo Zhang, et al.
Published: (2024) -
Education is power: preserving cognition in the UK biobank
by: Benjamin Tari, et al.
Published: (2023) -
Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts
by: Daniela Polessa Paula, et al.
Published: (2024) -
Is occupational physical activity associated with mortality in UK Biobank?
by: Matthew Pearce, et al.
Published: (2021)