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

2014 ◽  
Author(s):  
Yelena Yesha ◽  
Vandana P. Janeja ◽  
Naphtali Rishe ◽  
Yaacov Yesha
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evidence Based Medicine ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Evidence Based ◽  
Based Medicine

scholarly journals Application of Big Data Analytics with Evidence Based Medicine

2018 ◽  
Vol Volume-2 (Issue-4) ◽  
pp. 440-444
Author(s):  
Aravind G ◽  
Varun K ◽  
Manjunath C R | Soumya K N ◽  
Keyword(s):  
Big Data ◽  
Evidence Based Medicine ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Evidence Based ◽  
Based Medicine

scholarly journals Big Data Analytics with OENN Based Clinical Decision Support System

2022 ◽  
Vol 31 (2) ◽  
pp. 1241-1256
Author(s):  
Thejovathi Murari ◽  
L. Prathiba ◽  
Kranthi Kumar Singamaneni ◽  
D. Venu ◽  
Vinay Kumar Nassa ◽  
...  
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Clinical Decision

scholarly journals ADDIS: A decision support system for evidence-based medicine

2013 ◽  
Vol 55 (2) ◽  
pp. 459-475 ◽  
Author(s):  
Gert van Valkenhoef ◽  
Tommi Tervonen ◽  
Tijs Zwinkels ◽  
Bert de Brock ◽  
Hans Hillege
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evidence Based Medicine ◽  
Evidence Based ◽  
Based Medicine

Decision making system with Big Data Analytics in modern days of business

2020 ◽  
Author(s):  
praveen kumar
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Free Solution ◽  
Decision Making System ◽  
Critical Process

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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