INTEGRATED META- LEARNING INTO BIOMEDICAL DIAGNOSTICS - Couverture souple

Kumari, Monika; Ali, Irfan; Muchhal, Mohnish

Couverture souple

ISBN 10 : 620844151X ISBN 13 : 9786208441517

Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

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.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 620844151X
• ISBN 13: 9786208441517
• Reliure: Broché
• Nombre de pages: 80
• Coordonnées du fabricant: non disponible
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