Prediction of Heart Disease and Diabetes Using Naive Bayes Algorithm
| Autor: | Ninad Marathe, Adarsh Kanekar, Sushopti Gawade |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Naive Bayes classifier
medicine.medical_specialty Heart disease Computer science Diabetes mellitus Internal medicine 0202 electrical engineering electronic engineering information engineering medicine Cardiology 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology medicine.disease |
| Zdroj: | International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :447-453 |
| ISSN: | 2456-3307 |
| Popis: | Based on the test report values, diagnose a potential problem. The patient's report can be entered as feedback by the doctors (Sugar level, Age, Blood pressure, etc.). Through evaluating the available data collection, we can predict whether the patient has heart disease or diabetes using the method. Apart from that, we use Rstudio's R shiny addon for Web UI design. As a coding language, we use the R programming language. The Rstudio IDE was used. The datasets were obtained from the University of California at Irvine's repository. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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