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Causation in population health infor...

Dammann, Olaf.

Causation in population health informatics and data science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Causation in population health informatics and data scienceby Olaf Dammann, Benjamin Smart.
作者:	Dammann, Olaf.
其他作者:	Smart, Benjamin.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	ix, 134 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	EpidemiologyData processing.
電子資源:	https://doi.org/10.1007/978-3-319-96307-5
ISBN:	9783319963075$q(electronic bk.)

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. - Cham :Springer International Publishing :2019. - ix, 134 p. :ill. (some col.), digital ;24 cm.

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$q(electronic bk.)

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

224410
Epidemiology
--Data processing.

LC Class. No.: RA652.2.D38 / D366 2019

Dewey Class. No.: 614.4

Causation in population health informatics and data science
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