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Featured
Longitudinal Data in Electronic Health Records Can Be Used to Predict Risk of Suicide
Previous research has shown that diagnostic codes routinely collected in electronic health records can help predict domestic abuse an average of two years in advance. Could EHR systems also be used to predict suicidal behavior?
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Featured
Real-time Monitoring Detects Patterns of Suicidal Thoughts
By monitoring people via smartphone several times per day, Mass General researchers became the first to show that there are distinct patterns of suicidal thinking, which may have implications for suicide prevention efforts.
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Featured
One-Quarter of American Undergraduate Students Have Contemplated Suicide
Concerned by results from a nationwide survey, a Massachusetts General Hospital psychiatrist and colleagues call for campuses to help mitigate student stress, with a special focus on transgender students and those who are racial/ethnic, gender or sexual minorities.
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Suicide Risk Prediction Models Should Be Cost-Effective in U.S. Primary Care
Using electronic health records to predict who needs suicide prevention interventions has been criticized as impractical. But decision modeling by Eric L. Ross, MD, and Jordan W. Smoller, MD, ScD, of the Department of Psychiatry, and colleagues suggests some existing models are cost-effective and warrant pilot studies.
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Restrictive Eating Linked to Increased Likelihood of Suicidal Ideation
Restrictive eating, but not binge eating or purging, predicted suicidal ideation in adolescent and young adult females with low-weight eating disorders.
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Using Machine Learning to Identify Suicide Risk
Applying natural language processing to hospital discharge notes made it possible to identify psychopathology associated with the timing of suicide risk and accidental death in a general hospital population.
Suicide Risk Contributors
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Jeffery Huffman, MD
Associate Chief, Clinical Services, Department of Psychiatry, Director, Inpatient Psychiatry Research, Director, Cardiac Psychiatry Research Program
Recent Article
Telepsychiatry Early in the COVID-19 Pandemic
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Jordan W. Smoller, MD, ScD
Associate Chief for Research, Department of Psychiatry, Massachusetts General Hospital, Director, Psychiatric and Neurodevelopmental Genetics Unit, Professor of Psychiatry at Harvard Medical School and Professor in the Department of Epidemiology at the Harvard School of Public Health
Recent Article
Suicide Risk Prediction Models Should Be Cost-Effective in U.S. Primary Care
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Justin A. Chen, MD, MPH
Executive Director, Center for Cross-Cultural Student Emotional Wellness, Medical Director, Adult Outpatient Psychiatry Services
Recent Article
Telepsychiatry Early in the COVID-19 Pandemic
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Matthew K. Nock, PhD
Research Scientist, Mass General, Edgar Pierce Professor of Psychology, Harvard University
Recent Article
Machine Learning in Mental Health at Mass General
Neuroscience Care at Mass General
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