Data Modelling and Analytics for the Internet of Medical Things
portes grátis
Data Modelling and Analytics for the Internet of Medical Things
Chiong, Raymond; Pandey, Rajiv; Maurya, Pratibha
Taylor & Francis Ltd
12/2023
306
Dura
Inglês
9781032414232
15 a 20 dias
Descrição não disponível.
Part I. IoMT Datasets and Storage. 1. Remote Health Monitoring in the Era of the Internet of Medical Things. 2. Diabetic health care data analytics and application. 3. Blockchain for Handling Medical Data. 4. Cloud computing for complex IoMT data. 5. The potential of IoMT Devices in Early Detection of Suicidal Ideation. Part II. Machine Learning for Medical Things. 6. Artificial Intelligence and Internet of Medical Things in the Diagnosis and Prediction of Disease. 7. Predicting Cardiovascular Diseases Using Machine Learning: A Systematic Review of the Literature. 8. Identification of Unipolar Depression Using Boosting Algorithms. 9. Development of EEG based Identification of Learning Disability using Machine Learning Algorithms. 10. Deep Learning Approaches for IoMT. 11 Machine Learning and Deep Learning Techniques to Classify Depressed Patients from Healthy, Using Brain Signals from Electroencephalogram (EEG). 12. Dimensionality Reduction for IoMT Devices Using PCA. 13. Face Mask Detection System. Part III. IoMT: Data Analytics and Use Cases. 14. An IoT-based Real-time ECG Monitoring Platform for Multiple Patients. 15. Study on Anomaly Detection in Clinical Laboratory Data Using Internet of Medical Things. 16. Computational Intelligence Framework for Improving Quality of Life in Cancer Patients. 17. Major Depressive Disorder Detection using Data Science and Wearable Connected Devices.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
healthcare informatics;wearable medical devices;clinical decision support;EEG signal analysis;disease prediction algorithms;blockchain healthcare applications;machine learning for medical data analysis
Part I. IoMT Datasets and Storage. 1. Remote Health Monitoring in the Era of the Internet of Medical Things. 2. Diabetic health care data analytics and application. 3. Blockchain for Handling Medical Data. 4. Cloud computing for complex IoMT data. 5. The potential of IoMT Devices in Early Detection of Suicidal Ideation. Part II. Machine Learning for Medical Things. 6. Artificial Intelligence and Internet of Medical Things in the Diagnosis and Prediction of Disease. 7. Predicting Cardiovascular Diseases Using Machine Learning: A Systematic Review of the Literature. 8. Identification of Unipolar Depression Using Boosting Algorithms. 9. Development of EEG based Identification of Learning Disability using Machine Learning Algorithms. 10. Deep Learning Approaches for IoMT. 11 Machine Learning and Deep Learning Techniques to Classify Depressed Patients from Healthy, Using Brain Signals from Electroencephalogram (EEG). 12. Dimensionality Reduction for IoMT Devices Using PCA. 13. Face Mask Detection System. Part III. IoMT: Data Analytics and Use Cases. 14. An IoT-based Real-time ECG Monitoring Platform for Multiple Patients. 15. Study on Anomaly Detection in Clinical Laboratory Data Using Internet of Medical Things. 16. Computational Intelligence Framework for Improving Quality of Life in Cancer Patients. 17. Major Depressive Disorder Detection using Data Science and Wearable Connected Devices.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
