ArticleInternational journal of bipolar disorders2015
Big data are coming to psychiatry: a general introduction.
Article in International journal of bipolar disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed.
- Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Diagnostic Patterns and Racial/Ethnic Differences in Antipsychotic Prescribing Among Privately Insured Youth.Translational issues in psychological science · 2025Article
- Machine Learning in Adolescent Mental Health: Advanced Comorbidity Analysis and Text Mining Insights.Healthcare (Basel, Switzerland) · 2025Article
- MoodMon: novel optimization of bipolar disorder monitoring through patient-driven voice parameter submission and AI technology.Postepy psychiatrii neurologii · 2024Article
- Optimising the use of electronic medical records for large scale research in psychiatry.Translational psychiatry · 2024Review
- Psychotropic stewardship: Advancing patient care.The mental health clinician · 2023Article
- Expectations for Artificial Intelligence (AI) in Psychiatry.Current psychiatry reports · 2022Review
- Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort.Brain and behavior · 2022Article
- Using big data of genetics, health claims, and brain imaging to challenge the categorical classification in mental illness.Journal of the Chinese Medical Association : JCMA · 2022Review
- Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study.Journal of medical Internet research · 2022Observational
- Commentary: Perspective on excellence in forensic mental health services: What we can learn from oncology and other medical services.Frontiers in public health · 2022Article
- Challenges of Building, Deploying, and Using AI-Enabled Telepsychiatry Platforms for Clinical Practice Among Urban Indians: A Qualitative Study.Indian journal of psychological medicine · 2021Article
- Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?Advances in laboratory medicine · 2020Review
- Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study.JMIR research protocols · 2020Article
- Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.Scientific reports · 2018Article
- Smartphone-based objective monitoring in bipolar disorder: status and considerations.International journal of bipolar disorders · 2018Review
- The Emerging Neurobiology of Bipolar Disorder.Trends in neurosciences · 2018Review
- Variability of activity patterns across mood disorders and time of day.BMC psychiatry · 2017Article
- Invited Commentary on Stewart and Davis " 'Big data' in mental health research-current status and emerging possibilities".Social psychiatry and psychiatric epidemiology · 2017Article
- "Gestaltomics": Systems Biology Schemes for the Study of Neuropsychiatric Diseases.Frontiers in physiology · 2017Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.