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An Architecture For Intelligent Diagnosis of Diabetic Types: An Architecture For Intelligent Diagnosis Of Diabetic Types And Complications Based On Symptoms - Couverture souple
Synopsis
Information and communication technology can play a vital role in improving healthcare services by providing new and efficient ways of diagnosing diseases. Diabetic is recognized as the fastest-growing disease in the world. Due to insufficient diagnostic mechanisms, the number of undiagnosed diabetes has been in-creasing day by day. And it leads to creating long term complications such as neuropathy, nephropathy, foot gangrene and so on. The objective of this study is to design an intelligent architecture for diagnosing diabetes effectively based on the individual physical symptoms. The architecture has been designed by utilizing the combination of neural networks, data clustering algorithms and fuzzy logic techniques. Subsequently, a prototype system has been developed to validate against the diagnostic architecture on the aspect of efficiency and accuracy of di-agnosing diabetes, and its types and complications. The overall qualitative find-ings from this study scored very high, which is 94.50 % accurate.
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An Architecture For Intelligent Diagnosis of Diabetic Types
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203199621
ISBN 13 : 9786203199628
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information and communication technology can play a vital role in improving healthcare services by providing new and efficient ways of diagnosing diseases. Diabetic is recognized as the fastest-growing disease in the world. Due to insufficient diagnostic mechanisms, the number of undiagnosed diabetes has been in-creasing day by day. And it leads to creating long term complications such as neuropathy, nephropathy, foot gangrene and so on. The objective of this study is to design an intelligent architecture for diagnosing diabetes effectively based on the individual physical symptoms. The architecture has been designed by utilizing the combination of neural networks, data clustering algorithms and fuzzy logic techniques. Subsequently, a prototype system has been developed to validate against the diagnostic architecture on the aspect of efficiency and accuracy of di-agnosing diabetes, and its types and complications. The overall qualitative find-ings from this study scored very high, which is 94.50 % accurate. 224 pp. Englisch. N° de réf. du vendeur 9786203199628
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An Architecture For Intelligent Diagnosis of Diabetic Types
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203199621
ISBN 13 : 9786203199628
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Thangarasu GunasekarDr. Gunasekar Thangarasu is presently working as Department Head in Professional, Industry Driven Education at MAHSA University, Malaysia. He received his PhD in the field of Information Technology at University T. N° de réf. du vendeur 452575934
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An Architecture For Intelligent Diagnosis of Diabetic Types | An Architecture For Intelligent Diagnosis Of Diabetic Types And Complications Based On Symptoms
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203199621
ISBN 13 : 9786203199628
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. An Architecture For Intelligent Diagnosis of Diabetic Types | An Architecture For Intelligent Diagnosis Of Diabetic Types And Complications Based On Symptoms | Gunasekar Thangarasu | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203199628 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119642924
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An Architecture For Intelligent Diagnosis of Diabetic Types
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203199621
ISBN 13 : 9786203199628
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information and communication technology can play a vital role in improving healthcare services by providing new and efficient ways of diagnosing diseases. Diabetic is recognized as the fastest-growing disease in the world. Due to insufficient diagnostic mechanisms, the number of undiagnosed diabetes has been in-creasing day by day. And it leads to creating long term complications such as neuropathy, nephropathy, foot gangrene and so on. The objective of this study is to design an intelligent architecture for diagnosing diabetes effectively based on the individual physical symptoms. The architecture has been designed by utilizing the combination of neural networks, data clustering algorithms and fuzzy logic techniques. Subsequently, a prototype system has been developed to validate against the diagnostic architecture on the aspect of efficiency and accuracy of di-agnosing diabetes, and its types and complications. The overall qualitative find-ings from this study scored very high, which is 94.50 % accurate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. N° de réf. du vendeur 9786203199628
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An Architecture For Intelligent Diagnosis of Diabetic Types : An Architecture For Intelligent Diagnosis Of Diabetic Types And Complications Based On Symptoms
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203199621
ISBN 13 : 9786203199628
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information and communication technology can play a vital role in improving healthcare services by providing new and efficient ways of diagnosing diseases. Diabetic is recognized as the fastest-growing disease in the world. Due to insufficient diagnostic mechanisms, the number of undiagnosed diabetes has been in-creasing day by day. And it leads to creating long term complications such as neuropathy, nephropathy, foot gangrene and so on. The objective of this study is to design an intelligent architecture for diagnosing diabetes effectively based on the individual physical symptoms. The architecture has been designed by utilizing the combination of neural networks, data clustering algorithms and fuzzy logic techniques. Subsequently, a prototype system has been developed to validate against the diagnostic architecture on the aspect of efficiency and accuracy of di-agnosing diabetes, and its types and complications. The overall qualitative find-ings from this study scored very high, which is 94.50 % accurate. N° de réf. du vendeur 9786203199628
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