Deep Learning for Health Informatics: Recent Trends and Future Directions

被引:0
|
作者
Srivastava, Siddharth [1 ]
Soman, Sumit [1 ]
Rai, Astha [1 ]
Srivastava, Praveen K. [1 ]
机构
[1] Ctr Dev Adv Comp, Noida, Uttar Pradesh, India
关键词
ARTIFICIAL-INTELLIGENCE; MODEL; CLASSIFICATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1665 / 1670
页数:6
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