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Causation in Population Health Informatics and Data Science

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Causation in Population Health Informatics and Data Science/ by Olaf Dammann, Benjamin Smart.
作者:	Dammann, Olaf.
其他作者:	Smart, Benjamin.
面頁冊數:	IX, 134 p. 15 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Health informatics. -
電子資源:	https://doi.org/10.1007/978-3-319-96307-5
ISBN:	9783319963075

Causation in Population Health Informatics and Data Science
Dammann, Olaf.

Causation in Population Health Informatics and Data Science[electronic resource] /by Olaf Dammann, Benjamin Smart. - 1st ed. 2019. - IX, 134 p. 15 illus., 1 illus. in color.online resource.

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.

ISBN: 9783319963075

Standard No.: 10.1007/978-3-319-96307-5doiSubjects--Topical Terms:

1064466
Health informatics.

LC Class. No.: R858-859.7

Dewey Class. No.: 502.85

Causation in Population Health Informatics and Data Science
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