In an ever-evolving medical landscape, marked by an explosion of data and the increasing complexity of diseases, artificial intelligence (AI) is emerging as a promising tool for improving the accuracy and efficiency of diagnoses. This thesis aims to explore the potential of AI- specifically neural networks-in the field of medical diagnosis. Drawing on recent advances in deep learning, we will develop a decision-support system capable of assisting healthcare professionals in their daily practice. This study will help strengthen the interface between humans and machines in the service of healthcare.
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Prestivie Bénit EBONGA jest in¿ynierem ds. systemów informatycznych i sztucznej inteligencji.
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Paperback. Zustand: new. Paperback. In an ever-evolving medical landscape, marked by an explosion of data and the increasing complexity of diseases, artificial intelligence (AI) is emerging as a promising tool for improving the accuracy and efficiency of diagnoses. This thesis aims to explore the potential of AI- specifically neural networks-in the field of medical diagnosis. Drawing on recent advances in deep learning, we will develop a decision-support system capable of assisting healthcare professionals in their daily practice. This study will help strengthen the interface between humans and machines in the service of healthcare. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786630172683
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In an ever-evolving medical landscape, marked by an explosion of data and the increasing complexity of diseases, artificial intelligence (AI) is emerging as a promising tool for improving the accuracy and efficiency of diagnoses. This thesis aims to explore the potential of AI- specifically neural networks-in the field of medical diagnosis. Drawing on recent advances in deep learning, we will develop a decision-support system capable of assisting healthcare professionals in their daily practice. This study will help strengthen the interface between humans and machines in the service of healthcare. 84 pp. Englisch. Bestandsnummer des Verkäufers 9786630172683
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Paperback. Zustand: new. Paperback. In an ever-evolving medical landscape, marked by an explosion of data and the increasing complexity of diseases, artificial intelligence (AI) is emerging as a promising tool for improving the accuracy and efficiency of diagnoses. This thesis aims to explore the potential of AI- specifically neural networks-in the field of medical diagnosis. Drawing on recent advances in deep learning, we will develop a decision-support system capable of assisting healthcare professionals in their daily practice. This study will help strengthen the interface between humans and machines in the service of healthcare. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786630172683
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Taschenbuch. Zustand: Neu. Design and Development of a Decision Support System | For the medical diagnosis of patients in hospitals, based on an artificial neural network | Prestivie Bénit Ebonga | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786630172683 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 135771236
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In an ever-evolving medical landscape, marked by an explosion of data and the increasing complexity of diseases, artificial intelligence (AI) is emerging as a promising tool for improving the accuracy and efficiency of diagnoses. This thesis aims to explore the potential of AI- specifically neural networks-in the field of medical diagnosis. Drawing on recent advances in deep learning, we will develop a decision-support system capable of assisting healthcare professionals in their daily practice. This study will help strengthen the interface between humans and machines in the service of healthcare. Bestandsnummer des Verkäufers 9786630172683
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