Tanmay Kasbe*

Shri Vaishnav Institute of Computer Applications, Shri Vaishnav Vidyapeeth Vishwavidyalaya, India

*Corresponding Author: Tanmay Kasbe, Shri Vaishnav Institute of Computer Applications, Shri Vaishnav Vidyapeeth Vishwavidyalaya, India.

Received: June 02, 2023; Published: July 04, 2023

Abstract

Applications of machine learning techniques (ML) are having a significant impact on a number of expanding industries, including the healthcare sector. ML is a part of artificial intelligence (AI) technology that primary objective to increase the efficiency and precision of medical professionals’ work. AI presents a significant opportunity in the healthcare sector as most countries are now struggling with overburdened healthcare systems and a dearth of competent medical personnel. Healthcare data is expanding daily and can be utilized to choose the best study sample, gather additional data points, and assess participant data from ongoing studies.ML-based methods/algorithms are employed in the early detection and diagnosis of numerous diseases For a very long time, early disease prediction and detection have been a crucial area of research for the diagnosis of all diseases.

References

Citation

Citation: Tanmay Kasbe. “Machine Learning in Healthcare".Acta Scientific Computer Sciences 5.8 (2023): 08-09.

Copyright

Copyright: © 2023 Tanmay Kasbe. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.