Pastāsti draugiem par šo preci:
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
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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 8. decembris |
| ISBN13 | 9780309695060 |
| Izdevēji | National Academies Press |
| Lapas | 96 |
| Izmēri | 152 × 229 × 25 mm · 164 g |
| Valoda | Angļu |
| Redaktors | Amankwah, Francis K. |
| Redaktors | Nass, Sharyl J. |
| Redaktors | Pool, Robert, Ph.D. |
Ziemassvētku dāvanas var atgriezt līdz 31. janvārim