Deep learning techniques for biomedical and health informatics. ([2020])

• Record Type: Book
• Further Information: Note: Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen, editors.
• Editors: Dash, Sujata, 1964-; Acharya, Biswa Ranjan; Mittal, Mamta; Abraham, Ajith, 1968-; Kelemen, Arpad (Arpad G.)
• Contents: MedNLU: natural language understander for medical texts -- Deep learning based biomedical named entity recognition systems -- Disambiguation model for bio-medical named entity recognition -- Applications of deep learning in healthcare and biomedicine -- Deep learning for clinical decision support systems: a review from the panorama of smart healthcare -- Review of machine learning and deep learning based recommender systems for health informatics -- Deep learning and explainable AI in healthcare using EHR -- Deep learning for analysis of electronic heath records -- Bioinformatics using deep architecture -- Intelligent, secure big health data management using deep learning and blockchain technology: an overview -- Malaria disease detection using CNN technique with SGD, RMSprop and ADAM optimizers -- Deep reinforcement learning based personalized health recommendations.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (xxv, 383 pages), illustrations
• Subjects: 006.3/1; Machine learning; Artificial intelligence -- Medical applications; Deep Learning; Medical Informatics; Electronic Health Records; Artificial intelligence -- Medical applications; Machine learning; Electronic books
• Languages: English
• ISBNs: 9783030339661; 3030339661
• Related ISBNs: 9783030339654; 3030339653
• Notes: Note: Includes bibliographical references.; Note: Description based on online resource; title from resource home page (ProQuest Ebook Central, viewed June 8, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.