Open AccessDisease Prediction using Naïve Bayes - Machine Learning Algorithm
Author(s) -
Chandrasekhar Rao Jetti,
Rehamatulla Shaik,
Sadhik Shaik
Publication year - 2021
Publication title -
international journal of science and healthcare research
Language(s) - English
Resource type - Journals
ISSN - 2455-7587
DOI - 10.52403/ijshr.20211004
Subject(s) - naive bayes classifier , computer science , health care , machine learning , disease , artificial intelligence , bayes' theorem , expert system , web application , medical emergency , world wide web , medicine , support vector machine , bayesian probability , pathology , economics , economic growth
It can occur on many occasions that you or a loved one requires urgent medical assistance, but they are unavailable due to unforeseen circumstances, or that we are unable to locate the appropriate doctor for the care. As a result, we will try to incorporate an online intelligent Smart Healthcare System in this project to solve this issue. It's a web-based programmed that allows patients to get immediate advice about their health problems.The aim of the smart healthcare system is to create a web application that can take a user's symptoms and predict diseases, as well as serve as an online consultant for various diseases. We created an expert system called Smart Health Care System, which is used to make doctors' jobs easier. A machine examines a patient at a basic level and recommends diseases that may be present. It begins by inquiring about the patient's symptoms; if the device is able to determine the relevant condition, it then recommends a doctor in the patient's immediate vicinity. The system will show the result based on the available accumulated data. We're going to use some clever data mining techniques here. We use several intelligent data mining techniques to guess the most accurate illness that could be associated with a patient's symptoms, and we use an algorithm (Naive Bayes) to map the symptoms with potential diseases based on a database of many patients' medical records. This system not only makes doctors' jobs easier, but it also benefits patients by getting them the care they need as soon as possible.Keywords: Disease Prediction, Naïve Bayes, Machine Learning Algorithm, Smart Healthcare System.