GRENZE International Journal of Engineering and Technology
Vol. 8
(2022), Issue 2
Health Care Digitalization and Machine Learning
Authors
Ajinkya Yelne, Archana Raut
Abstract
Digital health can be defined as the use of wearable technology, connected software solutions, artificial intelligence, machine learning, and big data is for empowering and portioning patients to achieve healthcare through informed healthcare choices and available resources. Increased access to health knowledge results in fewer medical visits and improves healthcare as providers deliver high-quality service and outcomes when they can target individual needs. Online Consultation through Digital has grown during pandemics and has become an essential aspect of our life. As costs go down, more patients can access services thereby increasing the reach of healthcare facilities even in areas lacking adequate medical staff which eventually results in digital health care platforms and online consultation. Machine learning is helping digital health care to optimize the results of the search in finding better doctors, treatment, hospitals, and consultations. Certain ML aspects help digital platforms to predict the disease and various other health parameters. Our paper is a review of the digitalization of health care and how machine learning is helping in this context.
Pages:
60 - 63