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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 18, 2024
. (Total: 63881 Documents since 2012)
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TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records.
Zhichao Yang et al. Nat Commun 2023 14(1) 7857
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Applications of artificial intelligence-machine learning for detection of stress: a critical overview.
Alexios-Fotios A Mentis et al. Molecular psychiatry 2023
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Using machine learning algorithm to predict the risk of post-traumatic stress disorder among firefighters in Changsha.
Aoqian Deng et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2023 48(1) 84-91
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Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population - a machine learning approach.
Gagnon-Sanschagrin Patrick et al. BMC psychiatry 2022 22(1) 630
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A machine-learning model to predict suicide risk in Japan based on national survey data.
Chou Po-Han et al. Frontiers in psychiatry 2022 13918667
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Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies.
Vieira Sandra et al. Clinical psychology review 2022 97102193
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Machine learning for post-traumatic stress disorder identification utilizing resting-state functional magnetic resonance imaging.
Saba Tanzila et al. Microscopy research and technique 2022
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Deep Learning Model of fMRI Connectivity Predicts PTSD Symptom Trajectories in Recent Trauma Survivors.
Sheynin Shelly et al. NeuroImage 2021 118242
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Accurate Diagnosis of Suicide Ideation/Behavior Using Robust Ensemble Machine Learning: A University Student Population in the Middle East and North Africa (MENA) Region.
Naghavi Azam et al. Diagnostics (Basel, Switzerland) 2020 Nov 10(11)
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https://www.nature.com/articles/s41591-020-0951-z
K Schultebrauks et al, Nature Medicine, July 6, 2020
A.I. Is Learning From Humans. Many Humans.
C Metz, NY Times, August 16, 2019
Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort.
Leightley Daniel et al. Journal of mental health (Abingdon, England) 2019 Feb 28(1) 34-41
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Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic review.
Wickersham Alice et al. Digital health 52055207619842986
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 18, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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