A Survey on Automating the Process of Medical History in Health-Care Systems

Abstract

The field of Medical Sciences is advancing swiftly; as the number of diseases rises, the number of patients is also increasing. Several AI-Models are available to predict the disease and its conditions, such as medical diagnosis and prognosis. Since the patient's history is also essential, taking the patient's entire medicalhistory every time is a time consuming and redundant process for a doctor. The main objective is to design the automation process of taking the medical history that can be achieved based on the patient's symptoms which acts as input to the AI Model.In this paper, the survey of various AI techniquesis being used for the medical diagnosis of diseases. DifferentAI techniques include Support Vector Machines (SVM), Fuzzy Logic, Artificial Neural Network (ANN) etc. The paper focuses on critical insights into various types of AI techniques in terms of medical research, focusing on Breast Cancer, Brain Tumour and Appendicitis.