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Více informací o knize INTEGRATED META- LEARNING INTO BIOMEDICAL DIAGNOSTICS

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Anotace knihy

Meta-learning methods have to be properly applied in a wide range of healthcare settings through a huge number of theoretical and experimental studies. Meta-learning in health care remains in its infancy and has as yet not appealed to a larger scientific community, even with the developments. Additional work attempts need to be done to bridge a gap in the literature by combining existing breakthroughs and their practical applications since it is the first systematic survey targeting meta-learning within this area. The scope of the adaptation is where meta-learning also diverges from base learning. Whereas its acquisition is all about acquiring proficiency in a number of learning tasks, base-level acquisition is aimed at acquiring knowledge in one particular learning task. These are data integration across heterogeneous modalities, model interpretability, privacy and security, and real-world scalability optimization. Addressing these areas will enable meta-learning to become a foundation of the next generation of healthcare technologies, providing more accurate, personalized, and efficient diagnostic systems that can ultimately lead to better patient outcomes.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Medizin Medizinische Fachberufe

• Plný název: INTEGRATED META- LEARNING INTO BIOMEDICAL DIAGNOSTICS
• Autor: Irfan Ali, Mohnish Muchhal
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 80
• EAN: 9786208441517
• ISBN: 620844151X
• ID: 48908805
• Nakladatelství: LAP LAMBERT Academic Publishing
• Hmotnost: 137 g
• Rozměry: 220 × 150 × 5 mm
• Datum vydání: 10. April 2025

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