ISBN: 9786202672399 - analysis on prediction of swine flu using machine learning algorithms (5 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jun 2020, 2020

    6202672390 / 9786202672399

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors. 76 pp. Englisch.…

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    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202672390 / 9786202672399

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 45,66

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202672390 / 9786202672399

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 34,25

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Y. DeepikaMs.Y.Deepika had completed her Under Graduation recently at Vignan s Institute of Information Technology, Visakhapatnam. Dr.N.Thirupathi Rao is currently associated with Vignan s Institute of Information Technology, Visakha.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Jun 2020, 2020

    6202672390 / 9786202672399

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Data mining technique can be used in collaboration With a K-NN classifiers, Naïve Bayes, Random Forest, Support Vector Machine algorithms which used in diagnosing Swine flu disease virus affected across different persons based on their Symptoms. This proposed approach showed some Promising results which may lead to further attempts to utilize information technology for diagnosing virus from which patients are suffering from Swine flu. Here we used K-NN Classification, Naïve Bayes, Random Forest, SVM rules which are easy to interpret. In future, we will try to get more the accuracy results for the swine flu disease which helps to find different parameters using different data mining techniques as per suggested by doctors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2020

    6202672390 / 9786202672399

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. ANALYSIS ON PREDICTION OF SWINE FLU USING MACHINE LEARNING ALGORITHMS | Deepika Y. (u. a.) | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202672399 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …