Kanishka Kashyap
Vol. 13, Jan-Jun 2022
Abstract:
With uncountable benefits and applications of Machine Learning in different fields and domains, the most impactful ones are in the medical industry. This study investigates how machine learning algorithms are improving the precision and efficacy of healthcare procedures by transforming medical diagnosis. The paper includes a basic introduction to machine learning along with its broad implications. Further, medical diagnosis is explored acknowledging the difficulties faced in the medical industry and how those can be tackled with machine learning. The research explores how various machine learning techniques like supervised and unsupervised learning and reinforcement learning can be used in medical diagnosis. While supervised learning helps in the classification of illnesses based on patient data, unsupervised learning identifies patterns in large medical datasets.
DOI: http://doi.org/10.37648/ijrmst.v13i01.016