Deep Learning in Health Care: A Systematic Analytical Review

Having the emergent complexity of medicine data in excess of several years, using ‘machine learning’ technique, i.e. deep neural network models has grown to be most smart technology in healthcare system that specifies the intensifying density. In order to extract unseen patterns and corresponding important information from high quantity of data, which traditional analysis are unable to do in realistic length of time, ML methods are utilized. Deep learning, a subgroup of ‘machine learning’, has appeared as an influential tool in health care, showcasing its ability to transform many facets of the medical domain. This abstract supplies an outline of the profound impact of ‘deep learning’ applications in health care, focusing on key areas such as medical imaging, disease diagnosis and prediction, drug discovery, natural language processing (NLP), and remote patient monitoring.