Machine Learning and the Digital Measurement of Psychological Health

Motor Behavior is Relevant for Understanding Mechanism, Bolstering Prediction, And Improving Treatment: A Transdiagnostic Perspective

(2022) Sebastian Walther et al.   SCHIZOPHRENIA BULLETIN

Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art

(2022) Evelien Van Assche et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Deep learning, reinforcement learning, and world models

(2022) Yutaka Matsuo et al.   NEURAL NETWORKS

Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study

(2021) Katharina Schultebraucks et al.   Neurobiology of Stress

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review

(2021) Md Mobashir Hasan Shandhi et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Transition of Mental Health Service Delivery to Telepsychiatry in Response to COVID-19: A Literature Review

(2021) Hua Li et al.   PSYCHIATRIC QUARTERLY

Computational Psychiatry Needs Time and Context

(2021) Peter F. Hitchcock et al.   Annual Review of Psychology

Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review

(2021) Jean P M Mendes et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Dynamic Neural Networks: A Survey

(2021) Yizeng Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure

(2020) C. El-Hajj et al.   Biomedical Signal Processing and Control

A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor

(2020) Katharina Schultebraucks et al.   NATURE MEDICINE

Opportunities and challenges in the collection and analysis of digital phenotyping data

(2020) Jukka-Pekka Onnela   NEUROPSYCHOPHARMACOLOGY

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

(2020) Katharina Schultebraucks et al.   PSYCHOLOGICAL MEDICINE

Smartphone data during the COVID ‐19 pandemic can quantify behavioral changes in people with ALS

(2020) Anna L. Beukenhorst et al.   MUSCLE & NERVE

A Transdiagnostic Perspective on Social Anhedonia

(2019) Emma Barkus et al.   Frontiers in Psychiatry

Real-world Evidence—What Does It Really Mean?

(2019) Chadi Nabhan et al.   JAMA Oncology

A survey on big data-driven digital phenotyping of mental health

(2019) Yunji Liang et al.   Information Fusion

Mobile Sensing in Environmental Health and Neighborhood Research

(2018) Basile Chaix   Annual Review of Public Health

Neurobiology and consequences of social isolation stress in animal model—A comprehensive review

(2018) Faiza Mumtaz et al.   BIOMEDICINE & PHARMACOTHERAPY

Digital phenotyping approaches and mobile devices enhance CNS biopharmaceutical research and development

(2018) Daniel G. Smith   NEUROPSYCHOPHARMACOLOGY

Digital Phenotyping

(2017) Thomas R. Insel   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Self-report indicators of negative valence constructs within the research domain criteria (RDoC): A critical review

(2017) David Watson et al.   JOURNAL OF AFFECTIVE DISORDERS

Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

(2016) Jukka-Pekka Onnela et al.   NEUROPSYCHOPHARMACOLOGY

Real-World Evidence — What Is It and What Can It Tell Us?

(2016) Rachel E. Sherman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Experience sampling and ecological momentary assessment studies in psychopharmacology: A systematic review

(2015) Fionneke M. Bos et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depression

(2015) Laura Manea et al.   GENERAL HOSPITAL PSYCHIATRY

What have we learned from the Psychiatric Genomics Consortium

(2015) Michael C. O'Donovan   World Psychiatry

Novel Methods and Technologies for 21st-Century Clinical Trials

(2015) E. Ray Dorsey et al.   JAMA Neurology

Identification of a Common Neurobiological Substrate for Mental Illness

(2015) Madeleine Goodkind et al.   JAMA Psychiatry

Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials

(2015) Hiroko H. Dodge et al.   PLoS One

Empirical Characterization of Heterogeneous Posttraumatic Stress Responses Is Necessary to Improve the Science of Posttraumatic Stress

(2014) Isaac R. Galatzer-Levy   JOURNAL OF CLINICAL PSYCHIATRY

Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application

(2014) Isaac R. Galatzer-Levy et al.   JOURNAL OF PSYCHIATRIC RESEARCH

DSM-5 and RDoC: progress in psychiatry research?

(2013) B. J. Casey et al.   NATURE REVIEWS NEUROSCIENCE

COMPREHENSIVE REVIEW OF FACTORS IMPLICATED IN THE HETEROGENEITY OF RESPONSE IN DEPRESSION

(2012) Gebra Cuyún Carter et al.   DEPRESSION AND ANXIETY

Rethinking the Emotional Brain

(2012) Joseph LeDoux   NEURON

Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders

(2010) Thomas Insel et al.   AMERICAN JOURNAL OF PSYCHIATRY

The Diagnosis of Mental Disorders: The Problem of Reification

(2010) Steven E. Hyman   Annual Review of Clinical Psychology

The history of lithium therapy

(2009) Edward Shorter   BIPOLAR DISORDERS

Latent Variable Modeling of Differences and Changes with Longitudinal Data

(2008) John J. McArdle   Annual Review of Psychology