Practical Predictive Analytics and Decisioning Systems for Medicine

This book PDF is perfect for those who love Computers genre, written by Gary D Miner and published by Academic Press which was released on 23 September 2014 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Practical Predictive Analytics and Decisioning Systems for Medicine books below.

Practical Predictive Analytics and Decisioning Systems for Medicine
Author : Gary D Miner
File Size : 46,5 Mb
Publisher : Academic Press
Language : English
Release Date : 23 September 2014
ISBN : 0124116434
Pages : 0 pages
Get Book

Practical Predictive Analytics and Decisioning Systems for Medicine by Gary D Miner Book PDF Summary

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. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. 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. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost-efficient manner. 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. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.

Practical Predictive Analytics and Decisioning Systems for Medicine

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. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning

Get Book
Practical Predictive Analytics and Decisioning Systems for Medicine

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. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning

Get Book
Real World Evidence in the Pharmaceutical Landscape

In Real-World Evidence in the Pharmaceutical Landscape, life science industry experts Sunil Dravida and his co-authors have developed the first comprehensive overview of its kind on Real-World Data (RWD) in the pharmaceutical industry. The authors examine the challenges and opportunities in applying real-world data along the pharmaceutical continuum, from clinical

Get Book
Practical Data Analytics for Innovation in Medicine

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare

Get Book
Wearable Telemedicine Technology for the Healthcare Industry

Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software

Get Book
Foundations of Rural Public Health in America

Foundations of Rural Public Health in America spans a wide variety of important issues affecting rural public health, including consumer and family health, environmental and occupational health, mental health, substance abuse, disease prevention and control, rural health care delivery systems, and health disparities. Divided into five sections, the book covers

Get Book
Analytics in Healthcare

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for

Get Book
Data Mining and Analytics in Healthcare Management

This book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today’s world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease prevention, stopping or slowing disease progression, and reducing healthcare

Get Book