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 document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_112460’);});Edit Abstract & Keyword
In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate huge amount of data as per the requirement, prediction of the diseases based on Machine Learning models will represent one of the good applications of efficient data handling. An Automatic disease prediction system based on the symptoms would be a great boon for Medical practitioners. The Supervised Machine learning models such as Logistic regression, Random Forest, K-Nearest neighbour, Decision Tree and Navie Bays models are tested here for the deployment of the automation of the detection of the decease. The different sets of data on the symptoms (both Online available data and the data collected from Hospitals) of deceases like Heart disease, Breast cancer, and 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
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; ():-.
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; ():-. Available from: https://journals.stmjournals.com/rrjobi/article=2024/view=0
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Research & Reviews: A Journal of Bioinformatics
| Volume | |
| Received | 16/07/2024 |
| Accepted | 02/10/2024 |
| Published | 11/11/2024 |