Название: 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, 2nd Edition
Автор: Gary D. Miner, Linda A. Miner, Scott Burk
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 578
Язык: английский
Формат: pdf (true), epub
Размер: 49.1 MB
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using Artificial Intelligence (AI), Machine Learning (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 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, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Some of the tutorials use TIBCO-STATISTICA, others use SAS-Enterprise Miner or R-Rattle, and others use KNIME. This software is not provided on this book’s companion web page, but you can use a search engine to find the SAS, KNIME, and R websites and download what is available or find out how to get an evaluation copy (if available). In fact, in the tutorial using R-Rattle, instructions are provided on how to do this (realizing that the specific URL may have changed by the time you are reading this, and you will have to search further). KNIME and R are “freeware” or have free versions available to download from their web pages.