TY - GEN
T1 - Application of big-data in healthcare analytics - Prospects and challenges
AU - Rahman, Fuad
AU - Slepian, Marvin J.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/18
Y1 - 2016/4/18
N2 - Big-Data has opened up enormous opportunities for a variety of industries. Our ability to process large amounts of data, particularly a plethora of types of data, within a unified processing platform has been extremely useful in pushing the boundaries of what can be achieved from our computational models and how we can apply that to solve real life problems. This paper enumerates the main areas where Big-Data has been applied so far and points out areas within healthcare analytics where the same level of success can be gained through adoption of this technology.
AB - Big-Data has opened up enormous opportunities for a variety of industries. Our ability to process large amounts of data, particularly a plethora of types of data, within a unified processing platform has been extremely useful in pushing the boundaries of what can be achieved from our computational models and how we can apply that to solve real life problems. This paper enumerates the main areas where Big-Data has been applied so far and points out areas within healthcare analytics where the same level of success can be gained through adoption of this technology.
UR - http://www.scopus.com/inward/record.url?scp=84968543848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84968543848&partnerID=8YFLogxK
U2 - 10.1109/BHI.2016.7455823
DO - 10.1109/BHI.2016.7455823
M3 - Conference contribution
AN - SCOPUS:84968543848
T3 - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
SP - 13
EP - 16
BT - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Y2 - 24 February 2016 through 27 February 2016
ER -