Machine Learning and Digital Health

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-4
Year of Publication : 2019
Authors : Dr.R.Anusha, Ms.A.Angayarkanni, Ms.R.Gavoury
  10.14445/22312803/IJCTT-V67I4P108

MLA

MLA Style: Dr.R.Anusha, Ms.A.Angayarkanni, Ms.R.Gavoury "Machine Learning and Digital Health" International Journal of Engineering Trends and Technology 67.4 (2019): 37-39.

APA Style: Dr.R.Anusha, Ms.A.Angayarkanni, Ms.R.Gavoury (2019). Machine Learning and Digital Health. International Journal of Engineering Trends and Technology, 67(4), 37-39.

Abstract
The clinical use of machine learning algorithms are transforming the digital health care industry in a rapid phase. These algorithms will be implemented in the clinical setting of the health care professionals by embedding them in smart devices through Internet of things and could be used by the patients also for managing chronic conditions of diseases. The exponential growth of investment in machine learning signals that research is accelerating, and more products may soon be targeting market entry.The paper addresses the applications and challenges of machine learning in Digital health care services.

Reference
[1] Atzori L, Iera A, Morabito G. The Internet of Things: a survey. Comput Networks. 2010; 54(15):2787–2805. http://dx.doi.org/10.1016/j.comnet. 2010.05.010.
[2] Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, et al. The pace of technologic change: implications for digital health behavior intervention research. Am J Prev Med 2016 Nov;51(5):816-824.
[3] Murray E, Hekler EB, Andersson G, Collins LM, Doherty A, Hollis C, et al. Evaluating digital health interventions: key questions and approaches. Am J Prev Med 2016 Nov;51(5):843-851.
[4] https://medium.com/sciforce/machine-learning-and-ai-technologies-in-the-healthcare-industry-ad824211be19
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398183/
[6] https://www.nature.com/articles/npp2016
[7] https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2616170
[8] https://ieeeaccess.ieee.org/special-sections/data-enabled-intelligence-for-digital-health/

Keywords
Digital health care, Machine learning