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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
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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
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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 8 de diciembre de 2022 |
| ISBN13 | 9780309695060 |
| Editores | National Academies Press |
| Páginas | 96 |
| Dimensiones | 152 × 229 × 25 mm · 164 g |
| Lengua | Inglés |
| Editor | Amankwah, Francis K. |
| Editor | Nass, Sharyl J. |
| Editor | Pool, Robert, Ph.D. |
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