找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
查看: 12291|回復: 42
樓主
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

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)學科排名




書目名稱Causation in Population Health Informatics and Data Science網(wǎng)絡公開度




書目名稱Causation in Population Health Informatics and Data Science網(wǎng)絡公開度學科排名




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讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:11:21 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:28:54 | 只看該作者
地板
發(fā)表于 2025-3-22 06:32:26 | 只看該作者
5#
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
6#
發(fā)表于 2025-3-22 15:53:36 | 只看該作者
7#
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 “
8#
發(fā)表于 2025-3-22 22:51:11 | 只看該作者
9#
發(fā)表于 2025-3-23 01:22:08 | 只看該作者
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.
10#
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-31 21:19
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
浑源县| 水富县| 体育| 墨玉县| 铜山县| 曲松县| 手游| 如皋市| 正镶白旗| 嘉祥县| 明水县| 岳普湖县| 河曲县| 来宾市| 和硕县| 高台县| 应城市| 桐柏县| 黄陵县| 开化县| 丽水市| 呼图壁县| 赫章县| 吕梁市| 喜德县| 友谊县| 东丽区| 湘潭市| 榆中县| 昆山市| 闻喜县| 诏安县| 綦江县| 天津市| 旌德县| 巴彦淖尔市| 云南省| 略阳县| 广南县| 米脂县| 大新县|