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Causation in Population Health Informatics and Data Science [electronic resource]
Dammann, Olaf
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| 자료유형 | 단행본 |
|---|---|
| 개인저자 | Dammann, Olaf.,author. Smart, Benjamin.,author. |
| 단체저자명 | SpringerLink (Online service). |
| 서명/저자사항 | Causation in Population Health Informatics and Data Science [electronic resource] / by Olaf Dammann, Benjamin Smart. |
| 판사항 | 1st ed. 2019. |
| 형태사항 | IX, 134 p. 15 illus., 1 illus. in color:online resource. |
| 기본자료 저록 | Springer Nature eBook |
| 기타형태 저록 | Printed edition:9783319963068Printed edition:9783319963082Printed edition:9783030071745 |
| ISBN | 9783319963075 |
| 기타표준부호 | 10.1007/978-3-319-96307-5 |
| 내용주기 | Introduction -- Data Interpretation -- Data Generation -- Informatics -- Philosophy -- Causal inference -- Knowledge Integration -- Systems Thinking -- Summary and conclusion. |
| 요약 | 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. |
| 일반주제명 | Medical informatics. Logic. Epidemiology. Health Informatics. Logic. Epidemiology. |
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