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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings Of A Workshop
by Board on Health Care Services • National Academies of Sciences, Engineering, and Medicine • Health and Medicine Division • Forum on Mental Health and Substance Use DisordersEmerging real-time data sources, together with innovative data science techniques and methods - including artificial intelligence and machine learning - can help inform upstream suicide prevention efforts. Select social media platforms have proactively deployed these methods to identify individual p... More
Language: ENGCopyright: 2022 -
Caring for People with Mental Health and Substance Use Disorders in Primary Care Settings: Proceedings Of A Workshop
by Board on Health Care Services • Board on Health Sciences Policy • National Academies of Sciences, Engineering, and Medicine • Health and Medicine Division • Forum on Mental Health and Substance Use DisordersBehavioral health conditions, which include mental health and substance use disorders, affect approximately 20 percent of Americans. Of those with a substance use disorder, approximately 60 percent also have a mental health disorder. As many as 80 percent of patients with behavioral health condition... More
Language: ENGCopyright: 2020 -
Suicide Prevention in Indigenous Communities: Proceedings Of A Workshop
by Board on Health Care Services • Board on Children, Youth, and Families • Division of Behavioral and Social Sciences and Education • National Academies of Sciences, Engineering, and Medicine • Health and Medicine Division • Forum on Mental Health and Substance Use Disorders • Forum for Children’s Well-BeingIndigenous communities experience higher risks for suicide compared to the general U.S. population, with suicide as the second-leading cause of death among Indigenous children and young adults in North America. To reduce this trend, it is essential for prevention and intervention efforts to build on... More
Language: ENGCopyright: 2022