| Autor: |
B. Prathyusha, K. Sai Mahima, M. Preethi, M. Supraja |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7238950 |
| Popis: |
One of the most important issues facing the globe today is heart disease. Hybrid machine learning (ML) has demonstrated its ability to effectively support decision-making and prediction from the vast amounts of data generated by the healthcare sector and hospitals. Only a few research have used machine learning to predict cardiac disease. The current technique for predicting heart disease improves medical care while costing less. Several combinations of the prediction model are suggested, each with a particular feature. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
