The innovations of Computer Sciences have revolutionized the human life. As a result the ability to simulate activities and processes has grown significantly in recent years. It has made easy to analyze and diagnose the medical problems and diseases.The use of Artificial Intelligence in medicine and medical sciences is on high demand. Different methodologies are used for the implementation of Decision Support Systems that can help Medical Professionals for identification and diagnoses of diseases .Each methodology has some good aspects as well as some dark. The selection of a particular methodology depends upon various parameters of problem domain. Certain methodologies are more effective within one domain while other may be in another. A detailed study of most commonly used methodologies in Health Care can help us to suggest an optimal methodology for clinical decision support systems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The innovations of Computer Sciences have revolutionized the human life. As a result the ability to simulate activities and processes has grown significantly in recent years. It has made easy to analyze and diagnose the medical problems and diseases.The use of Artificial Intelligence in medicine and medical sciences is on high demand. Different methodologies are used for the implementation of Decision Support Systems that can help Medical Professionals for identification and diagnoses of diseases .Each methodology has some good aspects as well as some dark. The selection of a particular methodology depends upon various parameters of problem domain. Certain methodologies are more effective within one domain while other may be in another. A detailed study of most commonly used methodologies in Health Care can help us to suggest an optimal methodology for clinical decision support systems.
Mohsin Manshad Abbasi is a PhD Scholar & is working as a Lecture in University of AJ&K, Muzaffarabad.He has obtained his MSc Degree in Intelligent Embedded System from Malardalen University, Vasteras, Sweden in 2011. During his studies, he was involved in different research projects. The work presented in this book is an example of such projects.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abbasi Mohsin ManshadMohsin Manshad Abbasi is a PhD Scholar & is working as a Lecture in University of AJ&K, Muzaffarabad.He has obtained his MSc Degree in Intelligent Embedded System from Malardalen University, Vasteras, Sweden in 2. N° de réf. du vendeur 5519640
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The innovations of Computer Sciences have revolutionized the human life. As a result the ability to simulate activities and processes has grown significantly in recent years. It has made easy to analyze and diagnose the medical problems and diseases.The use of Artificial Intelligence in medicine and medical sciences is on high demand. Different methodologies are used for the implementation of Decision Support Systems that can help Medical Professionals for identification and diagnoses of diseases .Each methodology has some good aspects as well as some dark. The selection of a particular methodology depends upon various parameters of problem domain. Certain methodologies are more effective within one domain while other may be in another. A detailed study of most commonly used methodologies in Health Care can help us to suggest an optimal methodology for clinical decision support systems. N° de réf. du vendeur 9783848402120
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Taschenbuch. Etat : Neu. CDSSs: Review on different methodologies used in Health Care | Clinical Decision Support Systems for Health Care | Mohsin Manshad Abbasi | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848402120 | 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 106602411
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