Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data (Paperback)

Section 1: Cognitive Technology for processing of Healthcare data? 1. Cognitive technology in personalized Medicine/healthcare solutions 2. Cognitive technology for blend of personalized healthcare information with scientific data for better clinical risk analysis and healthcare innovation 3. Healthcare data encryption, data processing for the data acquired from smart sensors and approaches

Section 2: Artificial Intelligence Approaches for Healthcare Industry 4. Artificial Neural Networks based approaches for computer-aided disease diagnosis and treatment 5. AI and Deep Learning for processing the huge amount of patient centric data that assists in clinical decisions 6. Pattern Recognition and Computer vision approaches for handling healthcare data 7. Applications of Recurrent Neural Networks, Generative Neural Networks, Ensemble methods, Weakly Trained Approaches towards Data associated with healthcare solutions

Section 3: Evolutionary Algorithms for Healthcare Data Analysis 8. Optimization inspired by biological evolution for high dimensional data for forecasting of illness in advance like Cancer, Heart disease, Brain tumors 9. Swarm Intelligence and Evolutionary Algorithms in processing the Healthcare Data 10. Recent advancements in evolutionary algorithms for handling the information related to healthcare industry

Section4: Computational Intelligence and soft computing models in processing the data related to healthcare industry 11. Natural computing and Unsupervised Learning Methods in healthcare data-centric operations 12. Soft Computing and Machine Learning Techniques for healthcare data analytics 13. Probabilistic approaches for minimizing the healthcare diagnosis cost through data-centric operations 14. Computational Intelligence in Human-machine interface (HMI) e.g. ECG, EEG, EMG, PCG and predictive data analysis