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@article{Ravi:2017:10.1109/JBHI.2016.2636665,
author = {Ravi, D and Wong, C and Deligianni, F and Berthelot, M and Andreu-Perez, J and Lo, B and Yang, G},
doi = {10.1109/JBHI.2016.2636665},
journal = {IEEE Journal of Biomedical and Health Informatics},
pages = {4--21},
title = {Deep learning for health informatics},
url = {http://dx.doi.org/10.1109/JBHI.2016.2636665},
volume = {21},
year = {2017}
}

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TY  - JOUR
AB  - With a massive influx of multimodality data, the roleof data analytics in health informatics has grown rapidly in thelast  decade.  This  has  also  prompted  increasing  interests  in  thegeneration  of  analytical,  data  driven  models  based  on  machinelearning  in  health  informatics.  Deep  learning,  a  technique  withits foundation in artificial neural networks, is emerging in recentyears  as  a  powerful  tool  for  machine  learning,  promising  toreshape the future of artificial intelligence. Rapid improvementsin computational power, fast data storage and parallelization havealso contributed to the rapid uptake of the technology in additionto  its  predictive  power  and  ability  to  generate  automaticallyoptimized  high-level  features  and  semantic  interpretation  fromthe input data. This article presents a comprehensive up-to-datereview of research employing deep learning in health informatics,providing  a  critical  analysis  of  the  relative  merit  and  potentialpitfalls of the technique as well as its future outlook. The papermainly focuses on key applications of deep learning in the fields oftranslational bioinformatics, medical imaging, pervasive sensing,medical  informatics  and  public  health.
AU  - Ravi,D
AU  - Wong,C
AU  - Deligianni,F
AU  - Berthelot,M
AU  - Andreu-Perez,J
AU  - Lo,B
AU  - Yang,G
DO  - 10.1109/JBHI.2016.2636665
EP  - 21
PY  - 2017///
SN  - 2168-2208
SP  - 4
TI  - Deep learning for health informatics
T2  - IEEE Journal of Biomedical and Health Informatics
UR  - http://dx.doi.org/10.1109/JBHI.2016.2636665
UR  - http://hdl.handle.net/10044/1/42964
VL  - 21
ER  -

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