APPLICATION OF MACHINE LEARNING MODEL FOR CLASSIFICATION OF HEALTHCARE ISSUES IN HUMANS

Human disease prediction is the process of estimating the likelihood that a patient would develop a disease after analysing the constellations of their symptoms.Keeping track of a patient's health information and status during the initial assessment can help doctors treat a patient's condition successfully.Patients would receive a more streamlined and rapid course of therapy as a result of this analysis in the medical field.This study aims for the detection severity of multiple diseases in patients using machine learning (ML) models.Google Colab -python 3.0 with libraries from Sklearn, Numpy, Pandas, Matplotlib was the platform that was used to classify the data.There are 222 records of patients with varying health problems.Data from 2018 -2023, among which 104 were female and 118 were male around the age group of 7-81 years were collected from a private hospital in Mysuru, Karnataka.The dataset included information on the patient's age, gender, blood pressure, respiratory rate, pulse,