Investigation On Risk Analysis In Medical Diagnosis And Health Care Applications Using Machine Learning Algorithms

Abstract

Artificial Intelligence (AI) as an emerging technology, the intention to imitate thought processes, the learning capacity and knowledge management as like human, used in various applications in risk analysis, experimental, health care and clinical medicine. AI is very popular in recent times due to its support that it providers to find out the mixture of disease, play a very important role in the patient care and smart health management systems. Artificial Intelligence method ranges from various Machine Learning (ML) algorithms to deep learning algorithms which are established in modern healthcare application in medical field to diagnosis, patient risk detection, drug discovery and nutrition science. In this modern day, a lot of researchers have intended various automated diagnosis scheme by means of different supervised based learning models. The diagnosis process helps to avoid the death of the patient due to their disease earlier detections. Abundant medical data sources are necessary to completely identify and diagnose the diseases using AI and ML algorithms, parameter includes the magnetic resonance imaging, ultrasound, mammography, computed tomography scan, genomics etc. Also, AI with ML algorithms mainly improved the medical wing experience and helps in preparing the patients to persist their treatment at home itself. In this article, a proficient automatic disease diagnosis method along with complete analysis based on various health care applications is studied and analyzed using different machine learning method and other AI intelligence techniques to diagnose numerous diseases such as diabetes, the Alzheimer, cancer, tuberculosis, chronic heart disease, stroke, cerebrovascular, hypertension, skin, and liver diseases. Early revealing can really help in identifying the risk of the patient in various health care applications in this modern world and proportional analysis with various parameters designates that the proposed scheme can assist the doctors to grant timely prescription for treatment.