Big Data in Healthcare: Statistical Analysis of the Electronic Health Record
Farrokh Alemi你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?
Big Data in Healthcare: Statistical Analysis of the Electronic Health Record provides the statistical tools that healthcare leaders need to organize and interpret their data. Designed for accessibility to those with a limited mathematics background, the book demonstrates how to leverage EHR data for applications as diverse as healthcare marketing, pay for performance, cost accounting, and strategic management. Topics include: using real-world data to compare hospitals’ performance; measuring the prognosis of patients through massive data; distinguishing between fake claims and true improvements; comparing the effectiveness of different interventions using causal analysis; benchmarking different clinicians on the same set of patients, and more. This book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis. It can also be used to learn SQL language. Its extensive online instructor resources include course syllabi, PowerPoint and video lectures, Excel exercises, individual and team assignments, answers to assignments, and student-organized tutorials. Big Data in Healthcare applies the building blocks of statistical thinking to the basic challenges that healthcare leaders face every day. Prepare for those challenges with the clear understanding of your data that statistical analysis can bring—and make the best possible decisions for maximum performance in the competitive field of healthcare.
种类:
年:
2020
出版:
1
出版社:
Health Administration Press
语言:
english
页:
553
ISBN 10:
1640550631
ISBN 13:
9781640550636
文件:
PDF, 9.23 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2020
在1-5分钟内,文件将被发送到您的电子邮件。
该文件将通过电报信使发送给您。 您最多可能需要 1-5 分钟才能收到它。
注意:确保您已将您的帐户链接到 Z-Library Telegram 机器人。
该文件将发送到您的 Kindle 帐户。 您最多可能需要 1-5 分钟才能收到它。
请注意:您需要验证要发送到Kindle的每本书。检查您的邮箱中是否有来自亚马逊Kindle的验证电子邮件。
正在转换
转换为 失败