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Deep learning for health informatics: Recent trends and future directions - 2017

Deep Learning For Health Informatics: Recent Trends And Future Directions

Research Area:  Machine Learning

Abstract:

Health informatics has emerged as a growing domain of interest among researchers world-wide owing to its major implications on society. Applications of machine learning in healthcare range from disease prediction to patient-level personalized services. The prevalence of big data in healthcare has paved the way for applications based on deep learning techniques in the past few years. This paper reviews recent trends and applications of deep learning applied to the healthcare domain. We highlight recent research work, identify challenges and suggest possible future directions that could be pursued further in this domain.

Keywords:  

Author(s) Name:  Siddharth Srivastava; Sumit Soman; Astha Rai; Praveen K Srivastava

Journal name:  

Conferrence name:  International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Publisher name:  IEEE

DOI:  10.1109/ICACCI.2017.8126082

Volume Information: