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- W4313443677 abstract "The availability of data mining algorithm leads to extraction of helpful knowledge through data analysis. Researchers are concerned with using these algorithms in various fields. In the medical field, data mining tools are providing successful results through disease diagnosis applications. Health care professionals used data mining and statistical tools to diagnose the disease, However, using data mining techniques for identifying frequent symptoms for a particular disease and applying in patient data to check whether they are affected or not using a classification algorithm leads to suitable treatment for the diseased patients. This paper proposes a model to systematically close those gaps using our methods." @default.
- W4313443677 created "2023-01-06" @default.
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- W4313443677 date "2023-01-01" @default.
- W4313443677 modified "2023-09-23" @default.
- W4313443677 title "Mining Suitable Symptoms to Identify Disease Using Apriori and NBC" @default.
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- W4313443677 doi "https://doi.org/10.1007/978-981-19-7169-3_15" @default.
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