Knowledge Modelling and Big Data Analytics in Healthcare
portes grátis
Knowledge Modelling and Big Data Analytics in Healthcare
Advances and Applications
Chatterjee, Indranath; Patel, Rajan; Mehta, Mayuri; Passi, Kalpdrum
Taylor & Francis Ltd
10/2024
344
Mole
9780367696634
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Section I: Big Data in Healthcare. 1. Healthcare Systems: A Design Overview of System and Technology. 2. An Overview of Big Data Applications in Healthcare: Opportunities and Challenges. 3. Clinical Decision Support Systems and Computational Intelligence for Healthcare Industry. 4. Proposed Intelligent Software System for Healthcare Systems using Machine Learning. Section II: Medical Imaging. 5. Diagnosis of Schizophrenia: A Study on Clinical and Computational Aspect. 6. Artificial Intelligence in Medical Imaging. 7. Integrated Neuroinformatics: Analytics and Application. 8. A Computer detection system (CDS) for fast and quick detection of lung cancer using Digital Image Processing. Section III: Computational Genomics. 9. Improved Prediction of Gene Expression of Epigenomics Data of Lung Cancer Using Machine Learning and Deep Learning Models. 10. Genetic Study of Schizophrenia and Role of Computational Genomics in Mental Healthcare. 11. Prediction of disease-lncRNA associations via Machine Learning and Big Data approaches. Section IV: Applications on Clinical Diagnosis. 12. On Tracking Slow modulations of Effective Connectivity for Early Detection of Epilepsy: Methods. 13. Application to Predict Type-II Diabetes using IoT Rural Healthcare Monitoring System. Section V: Issues in Security and Informatics in Healthcare. 14. A conceptual model for assessing security and privacy risks in healthcare information infrastructures: the CUREX approach. 15. Data science in health informatics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;Artificial Intelligence;Support Vector Machine;AI;Convolutional Layer;Machine Learning;Big Data Technologies;Medical Imaging;Dl Model;IoT-Enabled;Big Data Analytics;Decision Making;Deep Learning Methods;Schizophrenia Patients;Feature Selection;Image Segmentation;Adaptive Neuro Fuzzy Inference System;DMD;Indian Healthcare System;Feature Selection Methods;High AUC;Deep Learning Algorithms;Nucleotide Features;Data Models;Mac Address;Mri Image;CNN Model;Bold Signal;Common miRNAs;Proposed Data Models;Computational Genomics
Section I: Big Data in Healthcare. 1. Healthcare Systems: A Design Overview of System and Technology. 2. An Overview of Big Data Applications in Healthcare: Opportunities and Challenges. 3. Clinical Decision Support Systems and Computational Intelligence for Healthcare Industry. 4. Proposed Intelligent Software System for Healthcare Systems using Machine Learning. Section II: Medical Imaging. 5. Diagnosis of Schizophrenia: A Study on Clinical and Computational Aspect. 6. Artificial Intelligence in Medical Imaging. 7. Integrated Neuroinformatics: Analytics and Application. 8. A Computer detection system (CDS) for fast and quick detection of lung cancer using Digital Image Processing. Section III: Computational Genomics. 9. Improved Prediction of Gene Expression of Epigenomics Data of Lung Cancer Using Machine Learning and Deep Learning Models. 10. Genetic Study of Schizophrenia and Role of Computational Genomics in Mental Healthcare. 11. Prediction of disease-lncRNA associations via Machine Learning and Big Data approaches. Section IV: Applications on Clinical Diagnosis. 12. On Tracking Slow modulations of Effective Connectivity for Early Detection of Epilepsy: Methods. 13. Application to Predict Type-II Diabetes using IoT Rural Healthcare Monitoring System. Section V: Issues in Security and Informatics in Healthcare. 14. A conceptual model for assessing security and privacy risks in healthcare information infrastructures: the CUREX approach. 15. Data science in health informatics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;Artificial Intelligence;Support Vector Machine;AI;Convolutional Layer;Machine Learning;Big Data Technologies;Medical Imaging;Dl Model;IoT-Enabled;Big Data Analytics;Decision Making;Deep Learning Methods;Schizophrenia Patients;Feature Selection;Image Segmentation;Adaptive Neuro Fuzzy Inference System;DMD;Indian Healthcare System;Feature Selection Methods;High AUC;Deep Learning Algorithms;Nucleotide Features;Data Models;Mac Address;Mri Image;CNN Model;Bold Signal;Common miRNAs;Proposed Data Models;Computational Genomics
