| Autor: |
Sunil Kumar, M., Sundararajan, Vasanthakumari, Balaji, N. Alangudi, Sambhaji Patil, Sachin, Sharma, Sudhir, Joy Winnie Wise, D. C. |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 4s (2023); 90-99 |
| ISSN: |
2147-6799 |
| Popis: |
In recent years, data mining has arisen as a possible new field for identifying insights in the underlying patterns of big datasets. This discovery can be accomplished through the examination of massive amounts of data. The utilization of huge datasets is one method for accomplishing this goal. Data mining is a labor-intensive technique that involves mining enormous databases for buried meaning and searching for prospective applications in those datasets. In a nutshell, it is a method that entails looking at data from several angles in order to achieve a greater knowledge of the data in question. The subject of medicine is one of the many that could benefit from these new understandings, which have a wide range of applications. In this paper, we develop big data mining pattern using deep learning algorithm to predict the rate of heart attack in human beings. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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