Intelligent Data Analysis for Biomedical Applications
Challenges and Solutions
Published on 15. March 2019
294 pages
978-0-12-815643-8 (ISBN)
Description
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
- Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection
- Contains an analysis of medical databases to provide diagnostic expert systems
- Addresses the integration of intelligent data analysis techniques within biomedical information systems
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Additional editions
D. Jude Hemanth | Deepak Gupta | Valentina Emilia Balas
Intelligent Data Analysis for Biomedical Applications
Challenges and Solutions
Book
03/2019
Academic Press
€126.27
Shipment within 15-20 days
Content
1. A Review on Intelligent Data Analysis System for an IoT-Based Capsule Endoscopy System2. Ant Colony optimization-based image texture segmentation in medical images3. A Feature Fusion Based Discriminant Learning Model for Diagnosis of Neuromuscular Disorders Using Single Channel Needle EMG Signal4. Evolution of Consciousness Systems with bacteria5. Analysis of transform-based compression techniques for MRI and CT images6. Liveness Assured Multimodal Biometrics using Electrocardiogram for Smart Health Applications7. Medical Image Retrieval System in PACS Environment for Clinical Decision Making8. A Neuro Fuzzy Inference Model for Diabetic Retinopathy Classification9. Predictive Analysis of breast cancer using machine learning techniques10. Right Ventricle Image Segmentation from MRI using optimization techniques11. Computational Automated System for Red Blood Cell Detection and Segmentation12. Fuzzy logic based approaches for gene regulatory network inference13. Evolutionary Algorithm with Memetic Search for Optic Disc Localization in Retinal Fundus Images14. A novel approach of targeting prognostics of Bruxism disorder using C4-P4 channel of EEG signal15. Physiotherapy and Rehabilitation Assessment System Using Bio-inspired Visual Cortex Computational Model16. Classification of Myocardial Ischemia in Contrast Enhancement Using Machine Learning17. Simple link sensor network based remote monitoring of multiple patients18. Prognosticating the risk of fibrosis progression in non-alcoholic fatty liver diseases19. Alzheimer Disease Detection from Structural MR Images using Fuzzy C-Means based Deep Belief Neural Network20. Optimal Control of Fractional Order HIV-Immune System Using Neural Network Approach21. Diagnosis of Ocular Disease using Optical Coherence Tomography Image22. Hybrid Approach for Classification of EEG Signals using T-F Images with Wavelets and Texture Features
