MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM

March 2024
Vol-10, Issue-2
Paper ID: 22701
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Software engineering
Keywords
Machine Learning Multiple disease prediction Public Website and User-friendly interface
Abstract
This study introduces a novel approach to healthcare-focused machine learning models, aiming to predict multiple diseases through a unified user interface. By addressing conditions such as diabetes, heart disease, and Parkinson's disease simultaneously, the system endeavors to safeguard human health and save numerous lives. The methodology involves implementing various classification algorithms, including Support Vector Machine Model and Logistic Regression, to accurately forecast these diseases. To ascertain the most effective predictor, the accuracy of each algorithm is rigorously compared. Furthermore, tailored datasets specific to each disease are employed to ensure precision in the predicted outcomes. Ultimately, the overarching goal is to leverage machine learning technology to develop a user-friendly web platform capable of forecasting diseases encompassing diabetes, heart disease, and Parkinson's disease.

Author Information

# Name Institute / Affiliation
1 SatyaAnvesh Burle Vasireddy Venkatadri Institute of Technology
2 Dileep Kumar Chalumuri Vasireddy Venkatadri Institute of Technology
3 Venkata Raghavendra Dalavai Vasireddy Venkatadri Institute of Technology
4 Devaraj Burle Vasireddy Venkatadri Institute of Technology
5 MASTANBI SHAIK Vasireddy Venkatadri Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Burle, SatyaAnvesh, Chalumuri, Dileep Kumar, Dalavai, Venkata Raghavendra, Burle, Devaraj, & SHAIK, MASTANBI (2024). MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 99-105.
MLA Style
Burle, SatyaAnvesh, et al. "MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 99-105.
IEEE Style
SatyaAnvesh Burle, Dileep Kumar Chalumuri, Venkata Raghavendra Dalavai, Devaraj Burle, and MASTANBI SHAIK, "MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 99-105, 2024.
Vancouver Style
Burle SatyaAnvesh, Chalumuri Dileep Kumar, Dalavai Venkata Raghavendra, Burle Devaraj, SHAIK MASTANBI. MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):99-105.
Harvard Style
Burle, SatyaAnvesh, Chalumuri, Dileep Kumar, Dalavai, Venkata Raghavendra, Burle, Devaraj, & SHAIK, MASTANBI (2024) 'MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 99-105.
Chicago Style
Burle, SatyaAnvesh, et al. "MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 99-105.
Turabian Style
Burle, SatyaAnvesh, et al. "MACHINE LEARNING BASED MULTIPLE DISEASE PREDICTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 99-105.

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