Data Mining Classification Algorithms For Kidney Disease Prediction: Data Mining - Couverture souple

Patil, Bhushan V.; Patil, Punam R.

9786203863093: Data Mining Classification Algorithms For Kidney Disease Prediction: Data Mining

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ISBN 10 : 6203863092 ISBN 13 : 9786203863093

Editeur : LAP LAMBERT Academic Publishing, 2021

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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 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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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2021
Langue: anglais
ISBN 10: 6203863092
ISBN 13: 9786203863093
Reliure: Broch�
Nombre de pages: 60
Coordonn�es du fabricant: non disponible
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Data Mining Classification Algorithms For Kidney Disease Prediction

Bhushan V. Patil

Edit� par LAP LAMBERT Academic Publishing Mai 2021, 2021

ISBN 10 : 6203863092 ISBN 13 : 9786203863093

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 60 pp. Englisch. N� de r�f. du vendeur 9786203863093

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Data Mining Classification Algorithms For Kidney Disease Prediction

Bhushan V. Patil|Punam R. Patil

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil Bhushan V.Prof. Bhushan V. Patil working as an Assistant Professor in Electronics and Telecommunication department at R. C.Patel Institute of Technology, Shirpur.Data mining is a vital role in several applications such as b. N� de r�f. du vendeur 482183486

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Data Mining Classification Algorithms For Kidney Disease Prediction

Bhushan V. Patil

Edit� par LAP LAMBERT Academic Publishing Mai 2021, 2021

ISBN 10 : 6203863092 ISBN 13 : 9786203863093

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 60 pp. Englisch. N� de r�f. du vendeur 9786203863093

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Data Mining Classification Algorithms For Kidney Disease Prediction : Data Mining

Bhushan V. Patil

Edit� par LAP LAMBERT Academic Publishing, 2021

ISBN 10 : 6203863092 ISBN 13 : 9786203863093

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9786203863093

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