9780309695060 - innovative data science approaches to identify individuals, populations, and communities at high risk for suicide: proceedings of a workshop di national academies of sciences, engineering, and medicine; health and medicine division; board on health care services; forum on mental health and substance use disorders (20 risultati)
Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide : Proceedings of a Workshop
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Forum on Mental Health and Substance Use Disorders; Nass, Sharyl J. (EDT)
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide : Proceedings of a Workshop
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Forum on Mental Health and Substance Use Disorders; Nass, Sharyl J. (EDT)
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders
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Paperback. Condizione: new. Paperback. Emerging 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 ind…ividual platform users at high risk for suicide, and in some cases may activate local law enforcement, if needed, to prevent imminent suicide. To explore the current scope of activities, benefits, and risks of leveraging innovative data science techniques to help inform upstream suicide prevention at the individual and population level, the Forum on Mental Health and Substance Use Disorders of the National Academies of Sciences, Engineering, and Medicine convened a virtual workshop series consisting of three webinars held on April 28, May 12, and June 30, 2022. This Proceedings highlights presentations and discussions from the workshop. Emerging 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide : Proceedings of a Workshop
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Forum on Mental Health and Substance Use Disorders; Nass, Sharyl J. (EDT)
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide : Proceedings of a Workshop
National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Forum on Mental Health and Substance Use Disorders; Nass, Sharyl J. (EDT)
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop
National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders
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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop
National Academies Of Sciences Engineeri|Health And Medicine Division|Board On Health Care Services
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Paperback. Condizione: new. Paperback. Emerging 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 ind…ividual platform users at high risk for suicide, and in some cases may activate local law enforcement, if needed, to prevent imminent suicide. To explore the current scope of activities, benefits, and risks of leveraging innovative data science techniques to help inform upstream suicide prevention at the individual and population level, the Forum on Mental Health and Substance Use Disorders of the National Academies of Sciences, Engineering, and Medicine convened a virtual workshop series consisting of three webinars held on April 28, May 12, and June 30, 2022. This Proceedings highlights presentations and discussions from the workshop. Emerging 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condizione: Neu. Neuware - Emerging 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 in…dividual platform users at high risk for suicide, and in some cases may activate local law enforcement, if needed, to prevent imminent suicide. To explore the current scope of activities, benefits, and risks of leveraging innovative data science techniques to help inform upstream suicide prevention at the individual and population level, the Forum on Mental Health and Substance Use Disorders of the National Academies of Sciences, Engineering, and Medicine convened a virtual workshop series consisting of three webinars held on April 28, May 12, and June 30, 2022. This Proceedings highlights presentations and discussions from the workshop.
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Taschenbuch. Condizione: Neu. Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide | Proceedings of a Workshop | Board On Health Care Services (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2023 | National Academies Press | EAN 9780309695060 | Verantwortl…iche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
