標(biāo)題: Titlebook: Causation in Population Health Informatics and Data Science; Olaf Dammann,Benjamin Smart Book 2019 Springer Nature Switzerland AG 2019 Cau [打印本頁(yè)] 作者: Covenant 時(shí)間: 2025-3-21 16:58
書目名稱Causation in Population Health Informatics and Data Science影響因子(影響力)
書目名稱Causation in Population Health Informatics and Data Science影響因子(影響力)學(xué)科排名
書目名稱Causation in Population Health Informatics and Data Science網(wǎng)絡(luò)公開度
書目名稱Causation in Population Health Informatics and Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Causation in Population Health Informatics and Data Science被引頻次
書目名稱Causation in Population Health Informatics and Data Science被引頻次學(xué)科排名
書目名稱Causation in Population Health Informatics and Data Science年度引用
書目名稱Causation in Population Health Informatics and Data Science年度引用學(xué)科排名
書目名稱Causation in Population Health Informatics and Data Science讀者反饋
書目名稱Causation in Population Health Informatics and Data Science讀者反饋學(xué)科排名
作者: 褪色 時(shí)間: 2025-3-21 22:11 作者: GIBE 時(shí)間: 2025-3-22 00:28 作者: 摘要 時(shí)間: 2025-3-22 06:32 作者: 展覽 時(shí)間: 2025-3-22 09:03
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 作者: Rejuvenate 時(shí)間: 2025-3-22 15:53 作者: Rejuvenate 時(shí)間: 2025-3-22 20:41
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 “作者: gustation 時(shí)間: 2025-3-22 22:51 作者: NOCT 時(shí)間: 2025-3-23 01:22
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.作者: metropolitan 時(shí)間: 2025-3-23 07:49
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作者: 大喘氣 時(shí)間: 2025-3-23 11:34 作者: AWRY 時(shí)間: 2025-3-23 17:53 作者: convulsion 時(shí)間: 2025-3-23 21:49 作者: rheumatism 時(shí)間: 2025-3-23 23:25
,Programmieren hei?t, Systeme zu bauen,ormatics, epidemiology, and simulation. In the conceptual domain, we introduce the philosophy of information, and of health and causation. Taken together, these domains provide the theoretical backdrop for the remainder of the book.作者: 錢財(cái) 時(shí)間: 2025-3-24 05:49 作者: 枕墊 時(shí)間: 2025-3-24 08:31 作者: sacrum 時(shí)間: 2025-3-24 14:34 作者: Talkative 時(shí)間: 2025-3-24 15:52 作者: 配偶 時(shí)間: 2025-3-24 21:57 作者: Estimable 時(shí)間: 2025-3-25 03:08 作者: 誘拐 時(shí)間: 2025-3-25 07:05
Causation in Population Health Informatics and Data Science作者: forecast 時(shí)間: 2025-3-25 11:27 作者: 遍及 時(shí)間: 2025-3-25 15:33
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..978-3-030-07174-5978-3-319-96307-5作者: 嚴(yán)重傷害 時(shí)間: 2025-3-25 19:39 作者: 600 時(shí)間: 2025-3-26 00:00
https://doi.org/10.1007/978-3-663-10927-3ng but a replacement of one dilemma with another: why should it be easier to identify the truth condition of the heuristics, than identifying the truth condition of the relationship between exposure and effect if they were hard-and-fast?criteria? We conclude by asking whether genuine medical knowled作者: 哀悼 時(shí)間: 2025-3-26 03:10 作者: 征兵 時(shí)間: 2025-3-26 05:05 作者: cringe 時(shí)間: 2025-3-26 10:51 作者: 假裝是你 時(shí)間: 2025-3-26 15:30 作者: 想象 時(shí)間: 2025-3-26 20:49 作者: 入伍儀式 時(shí)間: 2025-3-26 22:52 作者: Favorable 時(shí)間: 2025-3-27 03:22 作者: 猛擊 時(shí)間: 2025-3-27 07:19
,Programmieren hei?t, Systeme zu bauen,y domain, we drill down from computer science via health informatics to public health informatics. The analytics domain includes biostatistics, bioinformatics, epidemiology, and simulation. In the conceptual domain, we introduce the philosophy of information, and of health and causation. Taken toget作者: 巫婆 時(shí)間: 2025-3-27 13:28 作者: 險(xiǎn)代理人 時(shí)間: 2025-3-27 17:25
https://doi.org/10.1007/978-3-663-10927-3causal inference in medicine and population health informatics. With origins tracing back to at least the eighteenth century, the problem of induction (that is, the problem of justifying inferences from observed data to likely future or unobserved outcomes) is one of the most discussed issues in the作者: 螢火蟲 時(shí)間: 2025-3-27 18:04 作者: Nebulizer 時(shí)間: 2025-3-28 01:48
,Programmieren hei?t, Systeme zu bauen,, we discuss risk estimation, the focus of public health informatics methods. First, we introduce the concepts of risk and prediction. We contrast individual and population risk and discuss why using quantitative risk estimates in individuals is problematic. We describe methods for risk estimation i作者: Condense 時(shí)間: 2025-3-28 02:58 作者: Agnosia 時(shí)間: 2025-3-28 09:08 作者: Metastasis 時(shí)間: 2025-3-28 11:38
http://image.papertrans.cn/c/image/222640.jpg作者: Debrief 時(shí)間: 2025-3-28 15:07
10樓作者: 粗野 時(shí)間: 2025-3-28 21:25
10樓作者: 小畫像 時(shí)間: 2025-3-29 01:06
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