Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research
| Author | : | |
| Rating | : | 4.81 (951 Votes) |
| Asin | : | 0124116434 |
| Format Type | : | paperback |
| Number of Pages | : | 1110 Pages |
| Publish Date | : | 2013-12-02 |
| Language | : | English |
DESCRIPTION:
With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical researchProvides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computationsDemonstrates methods to help sort through data to make better observations and allow you to make better predictions. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. It explains why predictive models are
"strongly recommended to researchers or healthcare administrators to improve their data analysis skills and help them make more accurate and cost-effective decisions. Score: 84 - 3 Stars" --Doody's"In-depth and eye-opening, this seminal tome serves both the healthcare professional and the analyst: If you are a healthcare provider, researcher, or administrator, this handbook will motivate and guide your data-crunching; if you are an analytics expert, this industry overview will illuminate the pertinent background you need from the complex and dynamic healthcare industry. To get a grip on the predictive healthcare revolution, one must begin with this book's comprehensive 26 chapters and 33 hands-on tutorials." --Eric Siegel, Ph.D., founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click
"Five Stars" according to Daniel Shefchik. Good book. "Four Stars" according to Darron F.. An excellent resource!. In-depth & eye-opening - serves both the h/c professional & the analyst Here is my well-deserved endorsement of this book, a bit longer than what made its back cover. I have more recently, since writing this, seen Tom Davenport and James Taylor's forewords, which I recommend looking at for further perspective on the importance of this book."With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data. And it works! Predictive analytics bolsters patient care, reduces cost, and delivers greater efficiencies across a w
Hill joined Dell through Dell’s acquisition of StatSoft in April 2014, and he is currently the Executive Director for Analytics at Dell’s Information Management Group. At the various places he has worked, Dr. Hill has received numerous academic grants and awards from the National Science Foundation, the National Institute of Health, th