Multiple Disease Prediction Using Python

Registration ID: IJNRD_210715

Published ID: IJNRD2312129

DOI: Click Here to Get

SHIVKANYA SAKHARAM ANNAPURVE , RUDRANI PAPESHWAR PULKANTWAR , PRIYANKA DYANOBA GORE , Mr.TAHSEEN ALI

Machine Learning Algorithm, python, SVM, KNN, Random Forest.

Abstract: Disease Prediction is a Machine Learning based system which primarily works according to the symptoms given by a user. The disease is predicted using algorithms and comparison of the datasets with the symptoms provided by the user. Many of the existing machine learning models for health care analysis are concentrating on one disease per analysis. Like one analysis if for diabetes analysis, one for cancer analysis, one for skin diseases like that. There is no common system where one analysis can perform more than one disease prediction. In the proposed system, it provides machine learning algorithms for effective prediction of various disease occurrences in disease-frequent societies. The analysis accuracy is reduced when the quality of medical data in incomplete. There are multiple techniques in machine learning that can in a variety of industries, do predictive analytics on large amounts of data. Predictive analytics in healthcare is a difficult end, but it can eventually assist practitioners in making timely decisions regarding patients' health and treatment based on massive data. Diseases like Breast cancer, diabetes, and heart related diseases are causing many deaths globally but most of these deaths are due to the lack of timely check-ups of the diseases. The above problem occurs due to a lack of medical infrastructure and a low ratio of doctors to the population.

Published Paper   E-Certificate

SHIVKANYA SAKHARAM ANNAPURVE, RUDRANI PAPESHWAR PULKANTWAR, PRIYANKA DYANOBA GORE, & Mr.TAHSEEN ALI (January-2024). Multiple Disease Prediction Using Python. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), b126-b131. https://ijnrd.org/papers/IJNRD2312129.pdf

Volume 9 Issue 1, January-2024

Pages : b126-b131

Paper Reg. ID: IJNRD_210715

Published Paper Id: IJNRD2312129

Downloads: 000121992

Research Area: Computer Engineering 

Country: Nanded, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312129.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312129

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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