02956nam 22005415 450 991033749210332120200629161330.03-319-96307-410.1007/978-3-319-96307-5(CKB)4100000007110611(MiAaPQ)EBC5625025(DE-He213)978-3-319-96307-5(PPN)231464339(EXLCZ)99410000000711061120181029d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCausation in Population Health Informatics and Data Science /by Olaf Dammann, Benjamin Smart1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (139 pages)3-319-96306-6 Introduction -- Data Interpretation -- Data Generation -- Informatics -- Philosophy -- Causal inference -- Knowledge Integration -- Systems Thinking -- Summary and conclusion.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.Health informaticsLogicEpidemiologyHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Logichttps://scigraph.springernature.com/ontologies/product-market-codes/E16000Epidemiologyhttps://scigraph.springernature.com/ontologies/product-market-codes/H63000Health informatics.Logic.Epidemiology.Health Informatics.Health Informatics.Logic.Epidemiology.614.40285Dammann Olafauthttp://id.loc.gov/vocabulary/relators/aut782398Smart Benjaminauthttp://id.loc.gov/vocabulary/relators/autBOOK9910337492103321Causation in Population Health Informatics and Data Science2494798UNINA