Open AccessREVIEW OF INCLUSION OF MACHINE LEARNING TECHNIQUES IN MEDICINE FIELD
Author(s) -
Samaksh Khandelwal
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i05.032
Subject(s) - inclusion (mineral) , field (mathematics) , facet (psychology) , artificial intelligence , medicine , computer science , psychology , mathematics , social psychology , personality , pure mathematics , big five personality traits
The field of medicine is seeingindomitable changes and development with theinclusion of machine learning techniques andartificial intelligence. These inclusive systemsare improving the overall efficiency andaccuracy in every facet of medicine: Prognosis,diagnosis, and treatment are all positivelyimpacted. The understanding of machinelearning, its nuances, and techniques will betransforming the field of medicine in the comingyears. This paper aims to learn and review theeffect of machine learning and its inclusion inthe medical field spanning pathology, radiology,mental health, and dentistry. There is an indepth understanding of how these inclusivesystems could address the problems faced bypatients and physicians leading to effectivediagnosis and treatment. The researchmethodology is the systematic literature reviewof articles with the cluster of keywordsidentified as the central objective.