From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools
出版年份 2021 全文链接
标题
From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools
作者
关键词
-
出版物
JOURNAL OF CLINICAL PSYCHOLOGY
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2021-07-01
DOI
10.1002/jclp.23202
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research
- (2021) Ross Jacobucci et al. Clinical Psychological Science
- Patient perspectives on acceptability of, and implementation preferences for, use of electronic health records and machine learning to identify suicide risk
- (2021) Bobbi Jo H. Yarborough et al. GENERAL HOSPITAL PSYCHIATRY
- Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits
- (2021) R. Yates Coley et al. JAMA Psychiatry
- Information overload and unsustainable workloads in the era of electronic health records
- (2020) Bryant Furlow Lancet Respiratory Medicine
- Patient Feedback on the Use of Predictive Analytics for Suicide Prevention
- (2020) Mark A. Reger et al. PSYCHIATRIC SERVICES
- Prediction Models for Suicide Attempts and Deaths
- (2019) Bradley E. Belsher et al. JAMA Psychiatry
- Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016
- (2019) Mohsen Naghavi BMJ-British Medical Journal
- Screening for HIV Infection
- (2019) et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Leveraging Digital Health and Machine Learning Toward Reducing Suicide—From Panacea to Practical Tool
- (2019) John Torous et al. JAMA Psychiatry
- Assessment and Management of Patients at Risk for Suicide: Synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guidelines
- (2019) James Sall et al. ANNALS OF INTERNAL MEDICINE
- Suicide prediction models: a critical review of recent research with recommendations for the way forward
- (2019) Ronald C. Kessler et al. MOLECULAR PSYCHIATRY
- Economic Evaluation of Brief Cognitive Behavioral Therapy vs Treatment as Usual for Suicidal US Army Soldiers
- (2019) Samantha L. Bernecker et al. JAMA Psychiatry
- Suicide and suicide risk
- (2019) Gustavo Turecki et al. Nature Reviews Disease Primers
- Artificial Intelligence in Health Care
- (2019) Michael E. Matheny et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Update on the Methods of the U.S. Preventive Services Task Force: Methods for Understanding Certainty and Net Benefit When Making Recommendations
- (2018) Alex H. Krist et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Screening for Prostate Cancer
- (2018) et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
- (2018) John Torous et al. Current Psychiatry Reports
- Vital Signs: Trends in State Suicide Rates — United States, 1999–2016 and Circumstances Contributing to Suicide — 27 States, 2015
- (2018) Deborah M. Stone et al. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT
- Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
- (2018) Milena A. Gianfrancesco et al. JAMA Internal Medicine
- Protecting Life While Preserving Liberty: Ethical Recommendations for Suicide Prevention With Artificial Intelligence
- (2018) Lindsey C. McKernan et al. Frontiers in Psychiatry
- The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review
- (2018) Taylor A. Burke et al. JOURNAL OF AFFECTIVE DISORDERS
- Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration
- (2017) Ronald C. Kessler et al. INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH
- The High Costs of Unnecessary Care
- (2017) Aaron E. Carroll JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Annual Research Review: Suicide among youth - epidemiology, (potential) etiology, and treatment
- (2017) Christine B. Cha et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement
- (2016) Albert L. Siu et al. ANNALS OF INTERNAL MEDICINE
- Machine Learning and the Profession of Medicine
- (2016) Alison M. Darcy et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Patient and public attitudes towards informed consent models and levels of awareness of Electronic Health Records in the UK
- (2015) Fiona Riordan et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts
- (2015) Brent Daniel Mittelstadt et al. SCIENCE AND ENGINEERING ETHICS
- Screening for Suicide Risk in Adolescents, Adults, and Older Adults in Primary Care: U.S. Preventive Services Task Force Recommendation Statement
- (2014) Michael L. LeFevre ANNALS OF INTERNAL MEDICINE
- Near-term predictors of the intensity of suicidal ideation: An examination of the 24h prior to a recent suicide attempt
- (2014) Courtney L. Bagge et al. JOURNAL OF AFFECTIVE DISORDERS
- Does asking about suicide and related behaviours induce suicidal ideation? What is the evidence?
- (2014) T. Dazzi et al. PSYCHOLOGICAL MEDICINE
- Privacy in the Digital World: Medical and Health Data Outside of HIPAA Protections
- (2014) Tasha Glenn et al. Current Psychiatry Reports
- A Model for Therapeutic Risk Management of the Suicidal Patient
- (2013) HAL S. WORTZEL et al. Journal of Psychiatric Practice
- To Tell the Truth, the Whole Truth, May Do Patients Harm: The Problem of the Nocebo Effect for Informed Consent
- (2012) Rebecca Erwin Wells et al. AMERICAN JOURNAL OF BIOETHICS
- Informed consent for clinical treatment
- (2012) D. E. Hall et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
- The Nocebo Effect and Its Relevance for Clinical Practice
- (2011) Luana Colloca et al. PSYCHOSOMATIC MEDICINE
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