Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics

Author(s):  
Yelena Yesha ◽  
Vandana P. Janeja ◽  
Naphtali Rishe ◽  
Yaacov Yesha
2018 ◽  
Vol Volume-2 (Issue-4) ◽  
pp. 440-444
Author(s):  
Aravind G ◽  
Varun K ◽  
Manjunath C R | Soumya K N ◽  

2022 ◽  
Vol 31 (2) ◽  
pp. 1241-1256
Author(s):  
Thejovathi Murari ◽  
L. Prathiba ◽  
Kranthi Kumar Singamaneni ◽  
D. Venu ◽  
Vinay Kumar Nassa ◽  
...  

2013 ◽  
Vol 55 (2) ◽  
pp. 459-475 ◽  
Author(s):  
Gert van Valkenhoef ◽  
Tommi Tervonen ◽  
Tijs Zwinkels ◽  
Bert de Brock ◽  
Hans Hillege

2020 ◽  
Author(s):  
praveen kumar

Decision support system (DSS) in today’s world in era of Big Data Analytics (BDA) has shifted many fold from manual interpretation (Management centric) to more distributed hierarchy. More logical and accurate with BDA Ecosystem from judiciary to insurance. This paper will talk about sectors that has successfully adapted it. DSS with Predictive, prescriptive and descriptive analytics with data like visual, audio, syntactical, raw that too in auto mode as to give more accurate and interruption free solution to critical process. Hence aim is understand BDA to DSS implementation with modern and open source technologies like Hadoop, AWS, Apache suite etc.


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