Deep learning techniques for biomedical and health informatics / edited by Basant Agarwal [and 4 others].

Includes bibliographical references and index.

Unified neural architecture for drug, disease, and clinical entity recognition -- Simulation on real time monitoring for user healthcare information -- Multimodality medical image retrieval using convolutional neural network -- A systematic approach for identification of tumor regions in the human brain through HARIS algorithm -- Development of a fuzzy decision support system to deal with uncertainties in working posture analysis using rapid upper limb assessment -- Short PCG classification based on deep learning -- Development of a laboratory medical algorithm for simultaneous detection and counting of erythrocytes and leukocytes in digital images of a blood smear -- Deep learning techniques for optimizing medical big data -- Simulation of biomedical signals and images using Monte Carlo methods for training of deep learning networks -- Deep learning-based histopathological image analysis for automated detection and staging of melanoma -- Potential proposal to improve data transmission in healthcare systems -- Transferable approach for cardiac disease classification using deep learning -- Automated neuroscience decision support framework -- Diabetes prediction using artificial neural network.