Detailansicht
Causation in Population Health Informatics and Data Science
ISBN/EAN: 9783319963068
Umbreit-Nr.: 5249951
Sprache:
Englisch
Umfang: ix, 134 S., 14 s/w Illustr., 1 farbige Illustr., 1
Format in cm:
Einband:
gebundenes Buch
Erschienen am 09.11.2018
Auflage: 1/2019
- Zusatztext
- This book comprehensively covers the overlap between informatics, computer science, philosophy of causation in science, causal inference, epidemiology and public health research. Key concepts covered include how data for public health is generated and interpreted, 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. The Philosophy of Causal Inference in Public Health Informatics provides a detailed guide of the latest thinking on causal interference in public 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 avoiding causal inference in public health informatics.
- Kurztext
- This book comprehensively covers the overlap between informatics, computer science, philosophy of causation in science, causal inference, epidemiology and public health research. Key concepts covered include how data for public health is generated and interpreted, 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. The Philosophy of Causal Inference in Public Health Informatics provides a detailed guide of the latest thinking on causal interference in public 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 avoiding causal inference in public health informatics.
- Autorenportrait
- Olaf Dammann, M.D. (U Hamburg, '90), SM Epidemiology (Harvard, '97) is Professor of Public Health and Community Medicine, Pediatrics, and Ophthalmology at Tufts University School of Medicine in Boston, USA. He also serves as Editor-in-Chief of PEDIATRIC RESEARCH, the publication of the International Pediatric Research Foundation. His research interests include the elucidation of risk factors for brain damage and retinopathy in preterm newborns, the theory of risk and causation in biomedical and public health research, and the development of computational chronic disease models. He currently receives grant support from the NIH (National Eye Institute) and the European Union. His bibliography lists 160 publications.