Causation in Population Health Informatics and Data Science
Produktnummer:
184d0bac17f0184a96bd2c0d88ded58f1e
| Autor: | Dammann, Olaf Smart, Benjamin |
|---|---|
| Themengebiete: | Causation Epidemiology Illness Informatics Philosophy causal inference |
| Veröffentlichungsdatum: | 09.11.2018 |
| EAN: | 9783319963068 |
| Sprache: | Englisch |
| Seitenzahl: | 134 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Causation in Population Health Informatics and Data Science"
Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested.Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists interested in the potential benefits of utilising a systems-based approach to causal inference in health informatics.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen