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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
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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Evaluation of deep learning-based depression detection using medical claims data.
Markus Bertl et al. Artif Intell Med 2024 147102745
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Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life.
C Ralph-Nearman et al. Psychol Med 2023 1-7
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A roadmap for applying machine learning when working with privacy-sensitive data: predicting non-response to treatment for eating disorders.
Vegard G Svendsen et al. Expert Rev Pharmacoecon Outcomes Res 2023
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An Overview of Bipolar Disorder Diagnosis Using Machine Learning Approaches: Clinical Opportunities and Challenges.
Walter Antonio Campos-Ugaz et al. Iran J Psychiatry 2023 18(2) 237-247
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Editorial: Clinical application of machine learning methods in psychiatric disorders.
Xiaozheng Liu et al. Front Psychiatry 2023 141209615
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Artificial Intelligence-Based Major Depressive Disorder (MDD) Diagnosis Using Raman Spectroscopic Features of Plasma Exosomes.
Hyunku Shin et al. Analytical chemistry 2023
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Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.
Elias Hossain et al. Computers in biology and medicine 2023 155106649
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An optimization for postpartum depression risk assessment and preventive intervention strategy based machine learning approaches.
Hao Liu et al. Journal of affective disorders 2023
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Evidence, ethics and the promise of artificial intelligence in psychiatry.
McCradden Melissa et al. Journal of medical ethics 2022
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Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data.
Jennings Mariela V et al. Complex psychiatry 2022 8(1-2) 47-55
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Using machine learning to investigate earning capacity in patients undergoing psychosomatic rehabilitation-A retrospective health data analysis.
Papst Lilia et al. Frontiers in psychiatry 2022 131039914
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Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text.
Zhang Lei et al. International journal of neural systems 2022 2250045
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Predicting the future of neuroimaging predictive models in mental health.
Tejavibulya Link et al. Molecular psychiatry 2022
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Digital phenotyping in psychiatry: A scoping review.
Chia Alex Z R et al. Technology and health care : official journal of the European Society for Engineering and Medicine 2022
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Probabilistic Prediction of Nonadherence to Psychiatric Disorder Medication from Mental Health Forum Data: Developing and Validating Bayesian Machine Learning Classifiers.
Ji Meng et al. Computational intelligence and neuroscience 2022 20226722321
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Using machine learning to predict heavy drinking during outpatient alcohol treatment.
Roberts Walter et al. Alcoholism, clinical and experimental research 2022 46(4) 657-666
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Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review.
Welch Victoria et al. Journal of medical Internet research 2022 24(3) e33560
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Cortical thickness distinguishes between major depression and schizophrenia in adolescents.
Zhou Zheyi et al. BMC psychiatry 2021 21(1) 361
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Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.
Sone Daichi et al. Frontiers in neuroscience 2021 15684825
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Explainable AI enables clinical trial patient selection to retrospectively improve treatment effects in schizophrenia.
Mellem Monika S et al. BMC medical informatics and decision making 2021 21(1) 162
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The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression.
Na Kyoung-Sae et al. Advances in experimental medicine and biology 2021 130557-69
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Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis.
Quaak Mirjam et al. NeuroImage. Clinical 2021 30102584
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Sex-Specific Risk Profiles for Suicide Among Persons with Substance Use Disorders in Denmark.
Adams Rachel Sayko et al. Addiction (Abingdon, England) 2021
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Artificial Intelligence for Mental Healthcare: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.
Lee Ellen E et al. Biological psychiatry. Cognitive neuroscience and neuroimaging 2021 Feb
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Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders.
Lenze Eric J et al. Journal of psychiatry & neuroscience : JPN 2020 Nov 46(1) 200042
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[Network analysis by systemic text excavation of the concept of personalized psychiatry and precision].
Gauld C et al. L'Encephale 2020 Nov
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[Big Data, AI and Machine Learning for Precision Psychiatry: How are they changing the clinical practice?]
Winter Nils Ralf et al. Fortschritte der Neurologie-Psychiatrie 2020 Sep
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Computing schizophrenia: ethical challenges for machine learning in psychiatry.
Starke Georg et al. Psychological medicine 2020 Jun 1-7
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Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach.
Uyulan Caglar et al. Clinical EEG and neuroscience 2020 Jun 1550059420916634
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A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography.
Li Xiaowei et al. Frontiers in neuroscience 2020 14192
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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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