Machine Learning Solutions for the Healthcare Industry: A Review

P. Bharathi Devi*, P. Ravindra**, R. Kiran Kumar***
* Department of Computer Science, S.K.B.R. Government Degree College, Andhra Pradesh, India.
** Department of Computer Science, K.B.N. College, Andhra Pradesh, India.
*** Department of Computer Science and Engineering, Krishna University, Andhra Pradesh, India.
Periodicity:January - June'2023


Machine Learning (ML) has become an increasingly popular tool in the healthcare industry, providing solutions for a wide range of applications, from diagnosis and treatment to drug discovery and population health management. This paper summarizes the current state of Machine Learning in healthcare and highlights key trends and challenges in the field. Topics covered include deep learning algorithms for medical imaging, reinforcement learning for personalized treatment plans, and unsupervised learning for identifying patterns in large healthcare data sets. This paper also discusses the ethical and privacy implications of using Machine Learning in healthcare and the need for robust evaluation and validation of Machine Learning models. Overall, this paper demonstrates the potential of Machine Learning to revolutionize healthcare while also highlighting the need for further research and development in the field.


Machine Learning, Health Care, Artificial Intelligence, Supervised Learning, Unsupervised Learning.

How to Cite this Article?

Devi, P. B., Ravindra, P., and Kumar, R. K. (2023). Machine Learning Solutions for the Healthcare Industry: A Review. i-manager’s Journal on Artificial Intelligence & Machine Learning, 1(1), 41-47.


[7]. Iyer, S., Thevar, S., Guruswamy, P., & Ravale, U. (2020). Heart disease prediction using machine learning. International Research Journal of Modernization in Engineering Technology and Science, 2(7), 1598-1603.
[8]. Mishra, A., & Shukla, A. (2017). From machine learning to deep learning: Trends and challenges. CSI Communications, 41(8), 10-12.
[9]. Razia, S., Prathyusha, P. S., Krishna, N. V., & Sumana, N. S. (2017). A review on disease diagnosis using machine learning techniques. International Journal of Pure and Applied Mathematics, 117(16), 79-85.
[11]. Shen, D., Wu, G., & Suk, H. I. (2017). Deep learning in medical image analysis. Annual Review of Biomedical Engineering, 19, 221-248.
[12]. Topol, E. (2019). Deep Medicine: How Artificial Intelligence can Make Healthcare Human Again. Basic Books.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 40 40 300
Online 40 40 300
Pdf & Online 40 40 300

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.