Machine Learning in Healthcare

Abstract

Applications of machine learning techniques (ML) are having a significant impact on a number of expanding industries, including the healthcare sector. ML is a part of artificial intelligence (AI) technology with the primary objective to increase the efficiency and precision of medical professionals' work. AI presents a significant opportunity in the healthcare sector as most countries are now struggling with overburdened healthcare systems and a dearth of competent medical personnel. Healthcare data is expanding daily and can be utilised to choose the best study sample, gather additional data points, and assess participant data from ongoing studies. ML-based methods/algorithms are employed in the early detection and diagnosis of numerous diseases. For a very long time, early disease prediction and detection have been crucial areas of research for the diagnosis of all diseases. Machine‐learning (ML) algorithms have proven to be quite efficient in disease detection and decision making in healthcare.