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Titlebook: Causation in Population Health Informatics and Data Science; Olaf Dammann,Benjamin Smart Book 2019 Springer Nature Switzerland AG 2019 Cau

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發(fā)表于 2025-3-21 16:58:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Causation in Population Health Informatics and Data Science
編輯Olaf Dammann,Benjamin Smart
視頻videohttp://file.papertrans.cn/223/222640/222640.mp4
概述Reviews intersections between epidemiology, public health, computation, informatics, and science philosophy.Suggests a new theory for the integration of epidemiology, public health, computation, infor
圖書封面Titlebook: Causation in Population Health Informatics and Data Science;  Olaf Dammann,Benjamin Smart Book 2019 Springer Nature Switzerland AG 2019 Cau
描述.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..
出版日期Book 2019
關(guān)鍵詞Causation; Epidemiology; Informatics; Illness; Philosophy; causal inference
版次1
doihttps://doi.org/10.1007/978-3-319-96307-5
isbn_softcover978-3-030-07174-5
isbn_ebook978-3-319-96307-5
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-22 09:03:41 | 只看該作者
Making Population Health Knowledge,ds via information to knowledge, understanding and wisdom. In contrast, we propose to de-emphasize understanding and wisdom, and to insert evidence between information and knowledge. We outline a framework that takes data as raw symbols, which morph into information when contextualized. Information
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發(fā)表于 2025-3-22 20:41:59 | 只看該作者
Integrating Evidence,on health science. In particular, such information comes from individuals and populations (target), from epidemiology and the bench sciences (method), and from observation and experiment (manipulation). We discuss recent “systems” approaches in biology, medicine, and epidemiology in the section on “
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Introduction, and contrast deterministic folk psychology of causation with a pragmatic perspective built on probabilistic concepts of causation. Finally, we clarify the agenda of this book with a focus on what it is not about and give a roadmap of the remaining chapters.
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發(fā)表于 2025-3-23 07:49:01 | 只看該作者
Book 2019 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 he
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