Prasad Kathalkar,
Eshwar Satale,
Jeet Gate,
Chandrashekhar G. Patil,
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon(BK), Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon(BK), Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon(BK), Pune, Maharashtra, India
- Associate Professor, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon(BK), Pune, Maharashtra, India
Abstract
In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as Logistic regression, Random Forest, K-Nearest neighbor, Decision Tree and Navie Bays models are tested here for the deployment of the automation of the detection of the decease. The different set of the data of the symptoms (both online available data and the data collected from hospitals) of the diseases like Heart disease, Breast cancer, Diabetes are undertaken for the comparison of these models. On comparison of the performance of each of the models, the Random Forest model is found to be performed optimally under some conditions.
Keywords: Machine Learning, Disease prediction, Heart disease, Breast cancer, Diabetes
[This article belongs to Research & Reviews: A Journal of Bioinformatics ]
Prasad Kathalkar, Eshwar Satale, Jeet Gate, Chandrashekhar G. Patil. Performance Analysis of Machine Learning Algorithms For Disease Prediction. Research & Reviews: A Journal of Bioinformatics. 2024; 11(03):9-18.
Prasad Kathalkar, Eshwar Satale, Jeet Gate, Chandrashekhar G. Patil. Performance Analysis of Machine Learning Algorithms For Disease Prediction. Research & Reviews: A Journal of Bioinformatics. 2024; 11(03):9-18. Available from: https://journals.stmjournals.com/rrjobi/article=2024/view=187154
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Research & Reviews: A Journal of Bioinformatics
| Volume | 11 |
| Issue | 03 |
| Received | 16/07/2024 |
| Accepted | 02/10/2024 |
| Published | 11/11/2024 |
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