Medical Diagnosis Using Machine Learning: A Statistical Review

Decision making in case of medical diagnosis is a complicated process. A large number overlapping structures and cases, distractions, tiredness, limitations with the human visual system can lead to inappropriate diagnosis. Machine learning (ML) methods have been employed assist clinicians overcoming these informed correct decisions disease Many academic papers involving use machine for increasingly getting published. Hence, determine ML improve varied disciplines, systematic review conducted this study. To carry out review, six different databases are selected. Inclusion exclusion criteria limit research. Further, eligible articles classified depending on publication year, authors, type articles, research objective, inputs outputs, problem gaps, findings results. Then selected analyzed show impact improving The study most used common diseases that focused by researchers. It also shows increase over years. These results will help focusing those areas which neglected various ways could be achieve desirable