找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Clinical Applications of Artificial Intelligence in Real-World Data; Folkert W. Asselbergs,Spiros Denaxas,Jason H. Moor Textbook 2023 The

[复制链接]
查看: 37803|回复: 60
发表于 2025-3-21 16:52:34 | 显示全部楼层 |阅读模式
书目名称Clinical Applications of Artificial Intelligence in Real-World Data
编辑Folkert W. Asselbergs,Spiros Denaxas,Jason H. Moor
视频video
概述Represents a thorough review for clinicians and researchers to review the potential of AI and big data in medicine.Includes extensive instructional material to structure thinking on the use of these t
图书封面Titlebook: Clinical Applications of Artificial Intelligence in Real-World Data;  Folkert W. Asselbergs,Spiros Denaxas,Jason H. Moor Textbook 2023 The
描述This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. .Clinical Applications of Artificial Intelligence in Real-World Data. is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques..
出版日期Textbook 2023
关键词Big health data; Artificial intelligence; Machine learning; Deep learning; Biomedical ontologies; Electro
版次1
doihttps://doi.org/10.1007/978-3-031-36678-9
isbn_softcover978-3-031-36680-2
isbn_ebook978-3-031-36678-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Clinical Applications of Artificial Intelligence in Real-World Data影响因子(影响力)




书目名称Clinical Applications of Artificial Intelligence in Real-World Data影响因子(影响力)学科排名




书目名称Clinical Applications of Artificial Intelligence in Real-World Data网络公开度




书目名称Clinical Applications of Artificial Intelligence in Real-World Data网络公开度学科排名




书目名称Clinical Applications of Artificial Intelligence in Real-World Data被引频次




书目名称Clinical Applications of Artificial Intelligence in Real-World Data被引频次学科排名




书目名称Clinical Applications of Artificial Intelligence in Real-World Data年度引用




书目名称Clinical Applications of Artificial Intelligence in Real-World Data年度引用学科排名




书目名称Clinical Applications of Artificial Intelligence in Real-World Data读者反馈




书目名称Clinical Applications of Artificial Intelligence in Real-World Data读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:08:31 | 显示全部楼层
Rolle der BWA im Risk Performance Managementrm in real applications. For each of the performance measures, we discuss the optimal values that can be achieved by a given model and what should be considered as acceptable. We also show the relationship between the different measures, which can give more insights when interpreting the results of
发表于 2025-3-22 04:06:37 | 显示全部楼层
发表于 2025-3-22 05:13:18 | 显示全部楼层
Risk Prevention in Ophthalmologyransparency and trust, as well as susceptibilities to hacking and data privacy breaches. Furthermore, we discuss approaches towards minimizing risks and developing tools that can be safely deployed and routinely used in the clinic. Moreover, we introduce a set of concrete recommendations aimed at mi
发表于 2025-3-22 12:00:55 | 显示全部楼层
发表于 2025-3-22 13:34:44 | 显示全部楼层
Machine Learning—Evaluation (Cross-validation, Metrics, Importance Scores...)rm in real applications. For each of the performance measures, we discuss the optimal values that can be achieved by a given model and what should be considered as acceptable. We also show the relationship between the different measures, which can give more insights when interpreting the results of
发表于 2025-3-22 17:02:51 | 显示全部楼层
Artificial Intelligenceion, population health surveillance, data representation and integration, and clinical trial support. This history provides the reader with an “family tree” of sorts that shows the evolution of artificial intelligence through the past seven decades and its application to medicine and public health.
发表于 2025-3-23 01:05:29 | 显示全部楼层
发表于 2025-3-23 04:50:48 | 显示全部楼层
发表于 2025-3-23 06:33:00 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-1 00:13
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表