MULT-DISEASE DETECTION USING MACHINE LEARNING AND STREAMLIT

Registration ID: IJNRD_222178

Published ID: IJNRD2405612

DOI: Click Here to Get

Akash Sharma , Rohit Singh Bani

A comprehensive effort called Multiple Disease Prediction utilizing Machine Learning, Deep Learning, and Streamlit aims to forecast multiple diseases, such as diabetes, heart disease and Parkinson's disease. Support Vector Machine (SVM) and logistic regression are two machine learning algorithms that are used in this project. Streamlit Cloud and the Streamlit library are used to deploy the models, offering an intuitive interface for illness prediction. There are three disease options available on the application interface: diabetes, Parkinson's diseases After selecting a specific disease, the user is prompted to enter the important parameters needed for the predictive model. The application quickly produces the disease prediction result after the parameters are supplied, showing whether or not the person is impacted by the condition.

Published Paper   E-Certificate

Akash Sharma & Rohit Singh Bani (May-2024). MULT-DISEASE DETECTION USING MACHINE LEARNING AND STREAMLIT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), g102-g104. https://ijnrd.org/papers/IJNRD2405612.pdf

Volume 9 Issue 5, May-2024

Pages : g102-g104

Paper Reg. ID: IJNRD_222178

Published Paper Id: IJNRD2405612

Downloads: 000121975

Research Area: Information Technology 

Country: Noida, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405612.pdf

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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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