Data Mining Classification Algorithms For Kidney Disease Prediction: Data Mining - Softcover

Patil, Bhushan V.; Patil, Punam R.

 
9786203863093: Data Mining Classification Algorithms For Kidney Disease Prediction: Data Mining
Softcover
ISBN 10: 6203863092 ISBN 13: 9786203863093
Verlag: LAP LAMBERT Academic Publishing, 2021

Inhaltsangabe

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.<p>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.</p>

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Über die Autorin bzw. den Autor

Herr Bhushan V. Patil ist M.Tech. in digitaler Kommunikation und hat sein BE in Elektrotechnik an der North Maharashtra University, Jalgaon, abgeschlossen. Er ist Mitglied auf Lebenszeit der International Assocation Of Engineers (IAENG), Hongkong, und arbeitet als Assistenzprofessor in der E & TC-Abteilung am R.C. Patel Institute of Technology, Shirpur (MS), Indien.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
6203863092
ISBN 13 
9786203863093
Einband
Taschenbuch
Anzahl der Seiten
60
Kontakt zum Hersteller
Nicht verfügbar
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