Causation in Population Health Informatics and Data Science is popular PDF and ePub book, written by Olaf Dammann in 2018-10-29, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Causation in Population Health Informatics and Data Science can be Read Online from any device for your convenience.
Causation in Population Health Informatics and Data Science Book PDF Summary
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.
Detail Book of Causation in Population Health Informatics and Data Science PDF
- Author : Olaf Dammann
- Release : 29 October 2018
- Publisher : Springer
- ISBN : 9783319963075
- Genre : Medical
- Total Page : 134 pages
- Language : English
- PDF File Size : 7,5 Mb
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