| Autor: |
Kumar, G. Ravi, Vyshnavi, P., Prasanna, S., Reddy, T. Harshavardhan, Charanya, C., Chandrababu, P. |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
International Journal of Research in Engineering, Science and Management; Vol. 5 No. 3 (2022); 34-36 |
| ISSN: |
2581-5792 |
| Popis: |
This gives a general algorithm to classify the stroke using different machine learning algorithms with the help of stroke data set. Machine Learning algorithms can be used in different sectors such as surveillance, health, Auto mobiles etc. In the proposed idea we have to collect the data from the different cases from the patients and arrange this data in data set. By using the dataset, we have to train the machine by busing different machine learning algorithms such as, support vector machine, XG Boost, SGD, Decision tree and random forests. In these algorithms, Random Forest achieves high accuracy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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