9786203926224 - a hybrid algorithm based on machine learning de patel, aditya; singh, nidhi (5 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6203926221 / 9786203926224

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      Taschenbuch. Condición: Neu. A Hybrid Algorithm Based On Machine Learning | Aditya Patel (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203926224 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jun 2021, 2021

      6203926221 / 9786203926224

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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 -Heart disease is one of the foremost critical human diseases within the world and affects human life very badly. In heart conditions, the guts are unable to push the specified amount of blood to other parts of the body. Accurate and on-time diagnosis of heart condition is vital for coronary failure prevention and treatment. The diagnosis of heart condition through traditional medical records has been considered as not reliable in many aspects. To classify healthy people and other people with heart conditions, noninvasive-based methods like machine learning are reliable and efficient. Within the proposed study, we developed a machine-learning-based diagnosis system for heart condition prediction by using a heart condition dataset. We used seven popular machine learning algorithms, three feature selection algorithms, the cross-validation method, and 7 classifiers performance evaluation metrics like classification accuracy, specificity, sensitivity, Matthews' coefficient of correlation, and execution time. 72 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6203926221 / 9786203926224

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

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      EUR 42,25

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      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Heart disease is one of the foremost critical human diseases within the world and affects human life very badly. In heart conditions, the guts are unable to push the specified amount of blood to other parts of the body. Accurate and on-time diagnosis of heart condition is vital for coronary failure prevention and treatment. The diagnosis of heart condition through traditional medical records has been considered as not reliable in many aspects. To classify healthy people and other people with heart conditions, noninvasive-based methods like machine learning are reliable and efficient. Within the proposed study, we developed a machine-learning-based diagnosis system for heart condition prediction by using a heart condition dataset. We used seven popular machine learning algorithms, three feature selection algorithms, the cross-validation method, and 7 classifiers performance evaluation metrics like classification accuracy, specificity, sensitivity, Matthews' coefficient of correlation, and execution time.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6203926221 / 9786203926224

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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: Patel AdityaProf. Aditya Patel works as an Assistant Professor in CSE Dept. at LNCT Bhopal. Previously he worked as Web Designer & Developer in Ignatiuz Software Private Lmtd.Heart disease is one of the foremost critical human di.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jun 2021, 2021

      6203926221 / 9786203926224

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      EUR 39,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Heart disease is one of the foremost critical human diseases within the world and affects human life very badly. In heart conditions, the guts are unable to push the specified amount of blood to other parts of the body. Accurate and on-time diagnosis of heart condition is vital for coronary failure prevention and treatment. The diagnosis of heart condition through traditional medical records has been considered as not reliable in many aspects. To classify healthy people and other people with heart conditions, noninvasive-based methods like machine learning are reliable and efficient. Within the proposed study, we developed a machine-learning-based diagnosis system for heart condition prediction by using a heart condition dataset. We used seven popular machine learning algorithms, three feature selection algorithms, the cross-validation method, and 7 classifiers performance evaluation metrics like classification accuracy, specificity, sensitivity, Matthews' coefficient of correlation, and execution time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.