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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: Sep 22, 2023. (Total: 61629 Documents since 2012)
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Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.
Zihan Qu et al. BMC Psychiatry 2023 23(1) 620
Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults.
Ewa K Czyz et al. JAMA Netw Open 2023 6(8) e2328005
A smartphone-based application for cough counting in patients with acute asthma exacerbation.
Ji-Su Shim et al. J Thorac Dis 2023 15(7) 4053-4065
Predicting new-onset post-stroke depression from real-world data using machine learning algorithm.
Yu-Ming Chen et al. Front Psychiatry 2023 141195586
Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.
Anuja Bandyopadhyay et al. J Clin Sleep Med 2023
Using Machine-Learning to Predict Sleep-Disordered Breathing Diagnosis From Medical Comorbidities and Craniofacial Features.
Stephen Cokim et al. Cureus 2023 15(5) e39798
Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.
Zachary Strumpf et al. Sleep Health 2023
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring.
Lei Zhao et al. NPJ Digit Med 2023 6(1) 93
Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season.
Pierre-Eddy Dandrieux et al. BMJ Open 2023 13(5) e069423
A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data.
Zhou Hao Leong et al. Singapore Med J 2023
Machine learning for the prediction of cognitive impairment in older adults.
Wanyue Li et al. Front Neurosci 2023 171158141
Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning.
Nicolas Ricka et al. Sci Rep 2023 13(1) 6332
Positional sleep apnea phenotyping using machine learning and digital oximetry biomarkers.
Yuval Ben Sason et al. Physiol Meas
Interpretable Machine Learning for Fall Prediction among Older Adults in China.
Xiaodong Chen et al. Am J Prev Med
Applications of artificial intelligence-machine learning for detection of stress: a critical overview.
Alexios-Fotios A Mentis et al. Molecular psychiatry 2023
Predicting benzodiazepine prescriptions: A proof-of-concept machine learning approach.
Kerry L Kinney et al. Frontiers in psychiatry 2023 141087879
Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study.
Gerard Anmella et al. JMIR mHealth and uHealth 2023
Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children.
Won-Pyo Kim et al. JAMA network open 2023 6(3) e233502
A Machine-Learning Approach to Assess Factors Associated With Hospitalization of Children and Youths in Psychiatric Crisis.
Yen-Ling Chen et al. Psychiatric services (Washington, D.C.) 2023 appips20220201
Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders.
Bryan Peide Choo et al. Frontiers in neurology 2023 141123935
Application of artificial intelligence in the diagnosis of sleep apnea.
George Bazoukis et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2023
Design and Conceptual Proposal of an Intelligent Clinical Decision Support System for the Diagnosis of Suspicious Obstructive Sleep Apnea Patients from Health Profile.
Manuel Casal-Guisande et al. International journal of environmental research and public health 2023 20(4)
Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.
Gerui Zhang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.
Tony Robinson et al. International journal of environmental research and public health 2023 20(3)
Logistic regression technique is comparable to complex machine learning algorithms in predicting cognitive impairment related to post intensive care syndrome.
TingTing Wu et al. Scientific reports 2023 13(1) 2485
The role of artificial intelligence in the treatment of obstructive sleep apnea.
Hannah L Brennan et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2023 52(1) 7
Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature.
Pengfei Ye et al. American journal of otolaryngology 2023 44(2) 103714
Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling.
Mingfu Nuo et al. Journal of medical Internet research 2023 25e42856
In-hospital and home-based long-term monitoring of focal epilepsy with a wearable electroencephalography device. Diagnostic yield and user experience.
Jaiver Macea et al. Epilepsia 2023
Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol.
Kishimoto Taishiro et al. Frontiers in psychiatry 2023 131025517
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