Buch, Englisch, 134 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 261 g
Buch, Englisch, 134 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 261 g
ISBN: 978-3-030-07174-5
Verlag: Springer International Publishing
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
Introduction.- Data Interpretation.- Data Generation.- Informatics.- Philosophy.- Causal inference.- Knowledge Integration.- Systems Thinking.- Summary and conclusion.




