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Book Cover
Author Dammann, Olaf, author

Title Causation in population health informatics and data science / Olaf Dammann, Benjamin Smart
Published Cham : Springer, [2019]
Online access available from:
Springer eBooks    View Resource Record  


Description 1 online resource (ix, 134 pages) : illustrations (some color)
Contents Health data science -- The metaphysics of illness causation -- Causal inference in population health informatics -- Making population health knowledge -- Population risk -- Integrating evidence -- Conclusion and invite
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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed November 15, 2018)
Subject Data mining
Epidemiology -- Data processing
Medical informatics
Epidemiologic Methods
Data mining.
Epidemiology & medical statistics.
Epidemiology -- Data processing.
Health & safety aspects of IT.
MEDICAL -- Forensic Medicine.
MEDICAL -- Preventive Medicine.
MEDICAL -- Public Health.
Medical equipment & techniques.
Medical informatics.
Philosophy: logic.
Form Electronic book
Author Smart, Benjamin (Senior lecturer), author
ISBN 3319963066