Natarajan, Prashant <br/><br/>
Demystifying big data and machine learning for healthcare 

 - New York  Routledge  2021 
 - xxvi, 183 p. 
<br/><br/> Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.<br/><br/><br/><br/>Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts.  
<br/><br/><label>ISBN: </label>9781032097169 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Medical informatics<br/>Medicine--Information technology<br/>Machine learning<br/>Data curation
<br/><br/><label>Dewey Class. No.: </label>362.1  / NAT