Technical Advancements of Machine Learning in Healthcare / edited by Hrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick, Amiya Ranjan Panda.
Contributor(s): Tripathy, Hrudaya Kumar, editor literario | Mishra, Sushruta, editor literario | Mallick, Pradeep Kumar, editor literario | Panda, Amiya Ranjan, editor literario
Material type:
E-bookSeries: (Studies in Computational Intelligence, 1860-949X; 936); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Singapore : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIII, 388 páginas) : 196 ilustraciones, 138 ilustraciones a color.ISBN: 9789813346987.Subject: Aprendizaje automático
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q325.5 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.14032099 |
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Innovation on Machine Learning in Healthcare Services - An Introduction -- Big Data Application in Health Care: A Study -- Empirical Study on Different Feature Selection and Classification Algorithms for Prediction of Hepatitis Disease -- Meta Cognitive Neural Network for Emphysema Classification -- Analysis of Gaussian & Cauchy Mutations in K-Means Particle Swarm Optimization Algorithm for Data Clustering -- Emergence of Drug Discovery in Machine Learning -- Deep Learning Frameworks in Healthcare systems -- Deep Learning Neural Network and CNN based Diagnosis of Heart Diseases -- Deep learning model for efficient mammogram analysis.
This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
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