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Intelligent Lifecycle Architecture of - Naser El-Bathy#Mohammed El-Bathy
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ISBN: 9783845422763

ID: 5f3429db9da7890ade3e7339f6f25fa9

Disease Diagnosis Based Adapted CGA Using SOA Development of concepts and techniques to help solve the disease misdiagnosis problems is the focal point of numerous challenges that medical and health care professionals encounter. The study of this research creates an Intelligent Medical Extended Information Retrieval Lifecycle Architecture (IMEIRLA) based Adapted Clustering Genetic Algorithm (ACGA) using Service-Oriented Architecture (SOA). By increasing the accuracy of disease diagnosis, the proper treatment can be administered sooner therefore potentially shortening the time of stay for the patient through accelerated information retrieval. It also eliminates unnecessary testing. In this research, the concept of genetic algorithm based clustering has been adapted and applied to provide better clustering results in a more efficient manner. Clustering the results of Medical and Health care search engines gives extra information that is vital to a Medical and Health care professionals' patients' recovery. The study for this research builds utility-based intelligent agents to minimize amount of time it spends clustering results. The agents maximize performance of the solution by making it smarter Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8454-2276-3, LAP Lambert Academic Publishing

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ISBN: 9783845422763

ID: 240976455

Development of concepts and techniques to help solve the disease misdiagnosis problems is the focal point of numerous challenges that medical and health care professionals encounter. The study of this research creates an Intelligent Medical Extended Information Retrieval Lifecycle Architecture (IMEIRLA) based Adapted Clustering Genetic Algorithm (ACGA) using Service-Oriented Architecture (SOA). By increasing the accuracy of disease diagnosis, the proper treatment can be administered sooner therefore potentially shortening the time of stay for the patient through accelerated information retrieval. It also eliminates unnecessary testing. In this research, the concept of genetic algorithm based clustering has been adapted and applied to provide better clustering results in a more efficient manner. Clustering the results of Medical and Health care search engines gives extra information that is vital to a Medical and Health care professionals´ patients´ recovery. The study for this research builds utility-based intelligent agents to minimize amount of time it spends clustering results. The agents maximize performance of the solution by making it smarter Disease Diagnosis Based Adapted CGA Using SOA Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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ISBN: 9783845422763

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Disease Diagnosis Based Adapted CGA Using SOA Development of concepts and techniques to help solve the disease misdiagnosis problems is the focal point of numerous challenges that medical and health care professionals encounter. The study of this research creates an Intelligent Medical Extended Information Retrieval Lifecycle Architecture (IMEIRLA) based Adapted Clustering Genetic Algorithm (ACGA) using Service-Oriented Architecture (SOA). By increasing the accuracy of disease diagnosis, the proper treatment can be administered sooner therefore potentially shortening the time of stay for the patient through accelerated information retrieval. It also eliminates unnecessary testing. In this research, the concept of genetic algorithm based clustering has been adapted and applied to provide better clustering results in a more efficient manner. Clustering the results of Medical and Health care search engines gives extra information that is vital to a Medical and Health care professionals' patients' recovery. The study for this research builds utility-based intelligent agents to minimize amount of time it spends clustering results. The agents maximize performance of the solution by making it smarter Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8454-2276-3, LAP Lambert Acad. Publ.

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Development of concepts and techniques to help solve the disease misdiagnosis problems is the focal point of numerous challenges that medical and health care professionals encounter. The study of this research creates an Intelligent Medical Extended Information Retrieval Lifecycle Architecture (IMEIRLA) based Adapted Clustering Genetic Algorithm (ACGA) using Service-Oriented Architecture (SOA). By increasing the accuracy of disease diagnosis, the proper treatment can be administered sooner therefore potentially shortening the time of stay for the patient through accelerated information retrieval. It also eliminates unnecessary testing. In this research, the concept of genetic algorithm based clustering has been adapted and applied to provide better clustering results in a more efficient manner. Clustering the results of Medical and Health care search engines gives extra information that is vital to a Medical and Health care professionals´ patients´ recovery. The study for this research builds utility-based intelligent agents to minimize amount of time it spends clustering results. The agents maximize performance of the solution by making it smarter Disease Diagnosis Based Adapted CGA Using SOA Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Acad. Publ.

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Naser El-Bathy:
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2011, ISBN: 3845422769

ID: 10409415381

[EAN: 9783845422763], Neubuch, [PU: Lap Lambert Acad. Publ. Aug 2011], This item is printed on demand - Print on Demand Titel. - Development of concepts and techniques to help solve the disease misdiagnosis problems is the focal point of numerous challenges that medical and health care professionals encounter. The study of this research creates an Intelligent Medical Extended Information Retrieval Lifecycle Architecture (IMEIRLA) based Adapted Clustering Genetic Algorithm (ACGA) using Service-Oriented Architecture (SOA). By increasing the accuracy of disease diagnosis, the proper treatment can be administered sooner therefore potentially shortening the time of stay for the patient through accelerated information retrieval. It also eliminates unnecessary testing. In this research, the concept of genetic algorithm based clustering has been adapted and applied to provide better clustering results in a more efficient manner. Clustering the results of Medical and Health care search engines gives extra information that is vital to a Medical and Health care professionals patients recovery. The study for this research builds utility-based intelligent agents to minimize amount of time it spends clustering results. The agents maximize performance of the solution by making it smarter 224 pp. Englisch

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Details zum Buch
Intelligent Lifecycle Architecture of
Autor:

El-Bathy, Naser / El-Bathy, Mohammed

Titel:

Intelligent Lifecycle Architecture of

ISBN-Nummer:

9783845422763

Detailangaben zum Buch - Intelligent Lifecycle Architecture of


EAN (ISBN-13): 9783845422763
ISBN (ISBN-10): 3845422769
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Lap Lambert Acad. Publ. Aug 2011

Buch in der Datenbank seit 06.10.2007 01:07:05
Buch zuletzt gefunden am 27.04.2016 04:06:07
ISBN/EAN: 9783845422763

ISBN - alternative Schreibweisen:
3-8454-2276-9, 978-3-8454-2276-3

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