Human Disease Prognosis and Diagnosis Using Machine Learning

Abstract

AbstractThe medical or healthcare sector is one of the trending and challenging fields of machine learning (ML). Machine learning is a branch of artificial intelligence (AI) that is concerned with machine training and learning. “It is the defining technology of this decade, though its impact on healthcare has been meagre”—stated James Collin of MIT in the USA. Healthcare-related machine learning encompasses a broad range of techniques that can be used to assess efficiency, scope, versatility, and ability in various machine learning applications. Many multinational corporations and research organizations do more research and development work in the medical sector, which can be associated with machine learning to find some fruitful solutions for human beings, as humans face a variety of health-related issues. Disease prognosis and diagnosis are new challenges of the medical or healthcare sector, in which computer technology can utilize. Disease prognosis and diagnosis are critical tasks in the medical or healthcare, in which the prediction and accuracy of the results must be up to the mark. The significance of machine learning in medical or healthcare systems has been discussed in this paper for further exploration.KeywordsMachine learningArtificial intelligenceHealthcareDisease prognosisDisease diagnosis