Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
portes grátis
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Techniques and Applications
Dash, Sujata; Majhi, Babita; Rodrigues, Joel J. P. C.; Kumar Pani, Subhendu
Taylor & Francis Ltd
07/2024
362
Mole
9780367548469
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Part I: Machine Learning Techniques in Biomedical and Health Informatics. 1. Effect of Socio-economic and environmental factors on the growth rate of COVID 19 with an overview of speech data for its early diagnosis. 2. Machine Learning in Healthcare - The Big Picture. 3. Heart Disease Assessment using Advanced Machine Learning Techniques. 4. Classification of Pima Indian Diabetes Dataset using Support Vector Machine with Polynomial Kernel. 5. Prediction and Analysis of Covid-19 Pandemic. 6. Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals. 7. Soft-computing approach in Clinical Decision Support Systems. 8. A Comparative Performance Assessment of a Set of Adaptive Median filters for Eliminating Noise from Medical Images. 9. Early Prediction Of Parkinson's Disease Using Motor, Non-Motor Features And Machine Learning Techniques. Part II: Deep Learning Techniques in Biomedical and Health Informatics. 10. Deep Neural Network for Parkinson Disease Prediction using SPECT Image. 11. An Insight into Applications of Deep Learning in Bioinformatics. 12. Classification of Schizophrenia Associated Proteins using Amino Acid Descriptors and Deep Neural Network. 13. Deep Learning Architectures, Libraries and Frameworks in Healthcare. 14. Designing Low-Cost and Easy-To-Access Skin Cancer Detector using Neural Network Followed by Deep Learning. Part III: Internet of Things ( IoT) in Biomedical and Health Informatics. 15. Application of Artificial Intelligence in IoT based Healthcare Systems. 16. Computational Intelligence in IoT Healthcare. 17. Machine Learning Techniques for high-performance computing for IoT applications in healthcare. 18. Early Hypertensive Retinopathy Detection using Improved Clustering algorithm and Raspberry PI. 19. IoT based Architecture for Elderly Patient Care System.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data Analytics;Radio genomics;Soft Computing-based multimedia;Internet of Things( IoT) in Biomedical and Health Informatics;Deep Learning Techniques;Machine Learning;MERS;Health Informatics;Sparse Auto-encoders;SVM Classifier;Alzheimer's Disease Neuroimaging Initiative;Deep Boltzmann Machine;Support Vector Machines;Smart Phones;CNN Model;DBN;Ml Algorithm;Deep RL;Data Set;UCI Machine Learn Repository;RF.;SVM Model;Edge Computing;Adaptive Median Filter;EEG Signal;Polynomial Kernel;KNN Model;Classification Technique Support Vector Machine;SPECT Image;Chinese Longitudinal Healthy Longevity Survey;Tear Film Breakup Time
Part I: Machine Learning Techniques in Biomedical and Health Informatics. 1. Effect of Socio-economic and environmental factors on the growth rate of COVID 19 with an overview of speech data for its early diagnosis. 2. Machine Learning in Healthcare - The Big Picture. 3. Heart Disease Assessment using Advanced Machine Learning Techniques. 4. Classification of Pima Indian Diabetes Dataset using Support Vector Machine with Polynomial Kernel. 5. Prediction and Analysis of Covid-19 Pandemic. 6. Variational mode decomposition based automated diagnosis method for epilepsy using EEG signals. 7. Soft-computing approach in Clinical Decision Support Systems. 8. A Comparative Performance Assessment of a Set of Adaptive Median filters for Eliminating Noise from Medical Images. 9. Early Prediction Of Parkinson's Disease Using Motor, Non-Motor Features And Machine Learning Techniques. Part II: Deep Learning Techniques in Biomedical and Health Informatics. 10. Deep Neural Network for Parkinson Disease Prediction using SPECT Image. 11. An Insight into Applications of Deep Learning in Bioinformatics. 12. Classification of Schizophrenia Associated Proteins using Amino Acid Descriptors and Deep Neural Network. 13. Deep Learning Architectures, Libraries and Frameworks in Healthcare. 14. Designing Low-Cost and Easy-To-Access Skin Cancer Detector using Neural Network Followed by Deep Learning. Part III: Internet of Things ( IoT) in Biomedical and Health Informatics. 15. Application of Artificial Intelligence in IoT based Healthcare Systems. 16. Computational Intelligence in IoT Healthcare. 17. Machine Learning Techniques for high-performance computing for IoT applications in healthcare. 18. Early Hypertensive Retinopathy Detection using Improved Clustering algorithm and Raspberry PI. 19. IoT based Architecture for Elderly Patient Care System.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data Analytics;Radio genomics;Soft Computing-based multimedia;Internet of Things( IoT) in Biomedical and Health Informatics;Deep Learning Techniques;Machine Learning;MERS;Health Informatics;Sparse Auto-encoders;SVM Classifier;Alzheimer's Disease Neuroimaging Initiative;Deep Boltzmann Machine;Support Vector Machines;Smart Phones;CNN Model;DBN;Ml Algorithm;Deep RL;Data Set;UCI Machine Learn Repository;RF.;SVM Model;Edge Computing;Adaptive Median Filter;EEG Signal;Polynomial Kernel;KNN Model;Classification Technique Support Vector Machine;SPECT Image;Chinese Longitudinal Healthy Longevity Survey;Tear Film Breakup Time
