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
相关论文
共 50 条
  • [21] Divorce and Health: Current Trends and Future Directions
    Sbarra, David A.
    [J]. PSYCHOSOMATIC MEDICINE, 2015, 77 (03) : 227 - 236
  • [22] Deep learning approaches applied to routinely collected health data: future directions
    Rosella, Laura C.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2022, 51 (03) : 931 - 944
  • [23] Potential, challenges and future directions for deep learning in prognostics and health management applications
    Fink, Olga
    Wang, Qin
    Svensen, Markus
    Dersin, Pierre
    Lee, Wan-Jui
    Ducoffe, Melanie
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 92
  • [24] Health education, recent and future trends
    Giordan, A
    [J]. MEMORIAS DO INSTITUTO OSWALDO CRUZ, 2000, 95 : 53 - 58
  • [25] Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions
    Patel, Vishwa Amitkumar
    Bhattacharya, Pronaya
    Tanwar, Sudeep
    Gupta, Rajesh
    Sharma, Gulshan
    Bokoro, Pitshou N.
    Sharma, Ravi
    [J]. IEEE ACCESS, 2022, 10 : 90792 - 90826
  • [26] A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
    Krishnapriya, Srigiri
    Karuna, Yepuganti
    [J]. HEALTH AND TECHNOLOGY, 2023, 13 (02) : 181 - 201
  • [27] A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
    Srigiri Krishnapriya
    Yepuganti Karuna
    [J]. Health and Technology, 2023, 13 : 181 - 201
  • [28] A systematic review of deep learning applications for rice disease diagnosis: current trends and future directions
    Seelwal, Pardeep
    Dhiman, Poonam
    Gulzar, Yonis
    Kaur, Amandeep
    Wadhwa, Shivani
    Onn, Choo Wou
    [J]. FRONTIERS IN COMPUTER SCIENCE, 2024, 6
  • [29] Optical Networking Paradigm: Past, Recent Trends and Future Directions
    Oki, Eiji
    Wada, Naoya
    Okamoto, Satoru
    Yamanaka, Naoaki
    Sato, Ken-ichi
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2017, E100B (09) : 1564 - 1580
  • [30] Recent trends and future directions for lung cancer mortality in Europe
    P Brennan
    I Bray
    [J]. British Journal of Cancer, 2002, 87 : 43 - 48