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Smart Induction System Based on Intelligent Agent: Case Study: Predicting Diabetic Early Re-admission - Couverture souple
Synopsis
Now days, new methodology that deals with induction system including intelligent agents with different types of machine learning techniques based on rules can be suggested. Diagnosis domain is the most appropriate topic for this methodology, especially, diagnosis in health care system.Diabetes is among the commonly known autoimmune diseases, diabetes also predisposes the sufferers to high chances of bacterial and viral infections due to the weakness of the immune system. Diabetic patients are normally more prone to infections and once infected, usually takes time to heal. Hence, more attention is given to wellness as a preventative approach in healthcare. Meanwhile, the development of a diabetes prediction model is an extraordinary change to healthcare approach on the perspective of data-analysis & decision-making level. In this book, prediction of diabetic early readmission using different inductive learning algorithms and intelligent agents has been proposed depending on the pre-diagnosis of the patient.
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Smart Induction System Based on Intelligent Agent
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203195367
ISBN 13 : 9786203195361
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 -Now days, new methodology that deals with induction system including intelligent agents with different types of machine learning techniques based on rules can be suggested. Diagnosis domain is the most appropriate topic for this methodology, especially, diagnosis in health care system.Diabetes is among the commonly known autoimmune diseases, diabetes also predisposes the sufferers to high chances of bacterial and viral infections due to the weakness of the immune system. Diabetic patients are normally more prone to infections and once infected, usually takes time to heal. Hence, more attention is given to wellness as a preventative approach in healthcare. Meanwhile, the development of a diabetes prediction model is an extraordinary change to healthcare approach on the perspective of data-analysis & decision-making level. In this book, prediction of diabetic early readmission using different inductive learning algorithms and intelligent agents has been proposed depending on the pre-diagnosis of the patient. 284 pp. Englisch. N° de réf. du vendeur 9786203195361
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Smart Induction System Based on Intelligent Agent
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203195367
ISBN 13 : 9786203195361
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: Al-Ars Zainab TalibZainab Talib Al-Ars: Born in 1984, hold B.Sc.(2006) and M.Sc.(2014) degree in computer science from Baghdad University and a PhD in Artificial Intelligence from the Iraqi Commission for Computers and Informatics si. N° de réf. du vendeur 452575571
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Smart Induction System Based on Intelligent Agent | Case Study: Predicting Diabetic Early Re-admission
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203195367
ISBN 13 : 9786203195361
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Smart Induction System Based on Intelligent Agent | Case Study: Predicting Diabetic Early Re-admission | Zainab Talib Al-Ars (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203195361 | 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 119642915
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Smart Induction System Based on Intelligent Agent
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203195367
ISBN 13 : 9786203195361
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 -Now days, new methodology that deals with induction system including intelligent agents with different types of machine learning techniques based on rules can be suggested. Diagnosis domain is the most appropriate topic for this methodology, especially, diagnosis in health care system.Diabetes is among the commonly known autoimmune diseases, diabetes also predisposes the sufferers to high chances of bacterial and viral infections due to the weakness of the immune system. Diabetic patients are normally more prone to infections and once infected, usually takes time to heal. Hence, more attention is given to wellness as a preventative approach in healthcare. Meanwhile, the development of a diabetes prediction model is an extraordinary change to healthcare approach on the perspective of data-analysis & decision-making level. In this book, prediction of diabetic early readmission using different inductive learning algorithms and intelligent agents has been proposed depending on the pre-diagnosis of the patient.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 284 pp. Englisch. N° de réf. du vendeur 9786203195361
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EUR 82,90
Expédition à EUR 60
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Smart Induction System Based on Intelligent Agent : Case Study: Predicting Diabetic Early Re-admission
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203195367
ISBN 13 : 9786203195361
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 - Now days, new methodology that deals with induction system including intelligent agents with different types of machine learning techniques based on rules can be suggested. Diagnosis domain is the most appropriate topic for this methodology, especially, diagnosis in health care system.Diabetes is among the commonly known autoimmune diseases, diabetes also predisposes the sufferers to high chances of bacterial and viral infections due to the weakness of the immune system. Diabetic patients are normally more prone to infections and once infected, usually takes time to heal. Hence, more attention is given to wellness as a preventative approach in healthcare. Meanwhile, the development of a diabetes prediction model is an extraordinary change to healthcare approach on the perspective of data-analysis & decision-making level. In this book, prediction of diabetic early readmission using different inductive learning algorithms and intelligent agents has been proposed depending on the pre-diagnosis of the patient. N° de réf. du vendeur 9786203195361
Acheter neuf
EUR 83,89
Expédition à EUR 62,21
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