[ FreeCourseWeb ] Data Driven Approaches for Healthcare- Machine learning for Identifying High Utilizers

[ FreeCourseWeb.com ] Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers

Download More Latest Stuff Visit -->> https://FreeCourseWeb.com



October 7, 2019 | ISBN: 978-0367342906 | English | 119 pages | PDF | 5 MB
Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem.

Key Features:
Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes
Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers
Presents descriptive data driven methods for the high utilizer population
Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and graphic characteristics

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

Download More Latest Stuff Visit -->> https://FreeCourseWeb.com

Get Latest Apps Tips and Tricks -->> https://AppWikia.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

udp://tracker.coppersurfer.tk:6969/announce

udp://tracker.torrent.eu.org:451/announce

udp://thetracker.org:80/announce

udp://retracker.lanta-net.ru:2710/announce

udp://denis.stalker.upeer.me:6969/announce

udp://explodie.org:6969/announce

udp://tracker.filemail.com:6969/announce

udp://tracker.iamhansen.xyz:2000/announce

udp://retracker.netbynet.ru:2710/announce

udp://tracker.nyaa.uk:6969/announce

udp://torrentclub.tech:6969/announce

udp://tracker.supertracker.net:1337/announce

udp://open.demonii.si:1337/announce

udp://tracker.moeking.me:6969/announce

udp://tracker.filepit.to:6969/announce