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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.
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A Hybrid Algorithm Based On Machine Learning
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203926221
ISBN 13: 9786203926224
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Zustand: 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. Bestandsnummer des Verkäufers 490542085
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A Hybrid Algorithm Based On Machine Learning
Verlag:
LAP LAMBERT Academic Publishing Jun 2021, 2021
ISBN 10: 6203926221
ISBN 13: 9786203926224
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Taschenbuch. Zustand: 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Bestandsnummer des Verkäufers 9786203926224
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A Hybrid Algorithm Based On Machine Learning
Verlag:
LAP LAMBERT Academic Publishing Jun 2021, 2021
ISBN 10: 6203926221
ISBN 13: 9786203926224
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786203926224
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A Hybrid Algorithm Based On Machine Learning
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203926221
ISBN 13: 9786203926224
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786203926224
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A Hybrid Algorithm Based On Machine Learning
Verlag:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203926221
ISBN 13: 9786203926224
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A Hybrid Algorithm Based On Machine Learning
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ISBN 10: 6203926221
ISBN 13: 9786203926224
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A Hybrid Algorithm Based On Machine Learning
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LAP LAMBERT Academic Publishing, 2021
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ISBN 13: 9786203926224
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