Machine Learning for Health Informatics : State-Of-The-Art and Future Challenges
Overview
Machine Learning for Health Informatics.- Bagging Soft Decision Trees.- Grammars for Discrete Dynamics.- Empowering Bridging Term Discovery for Cross-domain Literature Mining in the TextFlows Platform.- Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.- Deep learning trends for focal brain pathology segmentation in MRI.- Differentiation between Normal and Epileptic EEG using K-Nearest-Neighbors Technique.- Survey on Feature Extraction and Applications of Biosignals.- Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning.- Machine Learning and Data mining Methods for Managing Parkinson's Disease.- Challenges of Medical Text and Image Processing: Machine Learning Approaches.- Visual Intelligent Decision Support Systems in the medical field: design and evaluation.
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Details
- ISBN-13: 9783319504773
- ISBN-10: 3319504770
- Publisher: Springer
- Publish Date: December 2016
- Dimensions: 9.21 x 6.14 x 1.01 inches
- Shipping Weight: 1.54 pounds
- Page Count: 481
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