Relevance Study of Data Mining for the Identification of Negatively Influenced Factors in Sick Groups
| Autor: | A. S. Aneeshkumar, C. Jothi Venkateswaran |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Neural Networks
Computer science Computational intelligence Back Propagation Algorithm computer.software_genre Data science Field (computer science) Identification (information) Knowledge extraction General Earth and Planetary Sciences Relevance (information retrieval) Data mining Analysis of Variance computer General Environmental Science |
| Zdroj: | Procedia Computer Science. 47:101-108 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2015.03.188 |
| Popis: | The application of medical data mining is emphasis with temporal data in this piece of writing. The application of computational methods in medical field is well known and which started in previous decades, but still now also lot of researches take place in artificial intelligence, knowledge discovery and mining. Correlating computational intelligence with medical intelligence to predict negatively influenced epidemiological factors in liver disorder patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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