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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Health Diagnosis Prediction using Machine Learning Model
Authors Name: Sagar Dattatray Waykar , Mayur S. Khaladkar , Pratik S. Ranaware , Gurudas B. Markad , Mahesh C. Shinde
Unique Id: IJSDR2305136
Published In: Volume 8 Issue 5, May-2023
Abstract: There are several diseases that are considered threaten to life also chronic and it would help patients if these diseases where dragonised at the earliest stage. Many complications occurs if these diseases are not treats and are not identified. The goal of developing a classifier system using Machine Learning (M.L.) algorithm is to help ultimately in solving health related problems by helping doctors to predict and diagnose diseases at earlier stage. Our prediction system is a project that can predict the chances of getting diseases, based on different user test report results. In this paper the risk of contracting diseases such as Diabetes, Heart Disease, Parkinson’s & Liver Disease are predicted using M.L. Algorithms. The end result is predicted based on the most accurate M.L. Algorithm. A web page application is designed where the users will select the disease and enter the symptoms or values such as Age, Blood Pressure Value, Glucose level and BMI level. The system then uses the M.L. model which can predict the chances of the selected disease in the patients.
Keywords: Machine Learning (M.L.) Model, Algorithms, Disease, Prediction, Symptoms.
Cite Article: "Health Diagnosis Prediction using Machine Learning Model", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.894 - 900, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305136.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2305136
Registration ID:206361
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 894 - 900
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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