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LEADER 00000uam a2200505 a 4500 
003    CaSebORM 
005    20201113164114.3 
006    m     o  d         
007    cr cn          
008    020920s2020    xx      o           eng   
020    |z9781492090021 
020    |z9781492090021 
024 8  9781492090038 
035    (CaSebORM)9781492090038 
041 0  eng 
100 1  Finn, Jaquie,|eauthor. 
245 10 Predictive Analytics for Healthcare|h[O'Reilly electronic 
       resource] /|cFinn, Jaquie. 
250    1st edition 
264  1 |bO'Reilly Media, Inc.,|c2020. 
300    1 online resource (78 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b74.99 
520    Before the onset of COVID-19, the healthcare community was
       already moving to meet the challenges of a growing global 
       population. By collecting record amounts of clinical data 
       electronically and making significant progress on neural 
       network-based AI approaches, the industry now has the 
       potential to build powerful predictive analytics systems. 
       The focus will accelerate the shift from a one-size-fits-
       all approach to individualized medicine. But several 
       questions remain. What are the plausible outcomes for the 
       world of predictive analytics in both the short and long 
       term? What does the care pathway look like if everything 
       is predicted? And with patient populations and healthcare 
       needs increasing exponentially, how can the industry 
       deliver care in a sustainable and cost-effective way? This
       comprehensive report, written by Jaquie Finn and Dr. Gavin
       Troughton with Cambridge Consultants, explores the 
       possibilities. You’ll learn: How predictive analytics 
       plays a part across all stages of the care pathway The 
       foundational enablers for predictive analytics How 
       healthcare economics figure into the equation Predictive 
       analytics and today’s healthcare system The future of 
       predictive analytics in healthcare 
533    Electronic reproduction.|bBoston, MA :|cSafari,|nAvailable
       via World Wide Web. 
538    Mode of access: World Wide Web. 
542    |fCopyright © 2020 O'Reilly Media, Inc. 
550    Made available through: Safari, an O’Reilly Media Company.
588 00 Online resource; Title from title page (viewed September 
       25, 2020) 
655  7 Electronic books.|2local 
700 1  Troughton, Gavin,|eauthor. 
700 1  Baxter, Paul,|eauthor. 
700 1  Cookson, Martin,|eauthor. 
700 1  Cornish, Katie,|eauthor. 
700 1  Corrigan, Joe,|eauthor. 
700 1  Lye, Yan,|eauthor. 
700 1  Sella, Noga,|eauthor. 
700 1  Pumphrey, Sam,|eauthor. 
700 1  Taylor, Ian,|eauthor. 
700 1  Wagner, Chris,|eauthor. 
710 2  Safari, an O’Reilly Media Company. 
856 40 |zConnect to this resource online|uhttps://