Data Mining Classification Algorithms For Kidney Disease Prediction: Data Mining - Punam R. Patil,Bhushan V. Patil
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Toimitus 12-18 arkipäivässä
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Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly ... Täydellinen kuvaus
Kuvaus
Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.
Data mining is a vital role in several applications such as business organizations, educational institutions, government sectors, health care industry, scientific and engineering.In the health care industry, the data mining is predominantly used for disease prediction.The main objective is to predict kidney diseases using classification algorithms such as Naive Bayes and Support Vector Machine. This mainly focused on finding the best classification algorithm based on the classification accuracy and execution time performance factors.This algorithm takes symptoms as input and predicts the disease based on patients data.
Lisätietoja
| Kirjoittaja | Punam R. Patil, Bhushan V. Patil |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786203863093 |