Recent Advances in AI-enabled Automated Medical Diagnosis (eBook, PDF)

Redaktion: Jiang, Richard; Chazot, Paul; Crookes, Danny; Wei, Hua-Liang; Zhang, Li

• Format: PDF

Produktbeschreibung

This book presents a summary of recent advances in this rapidly growing area, and introduces interesting topics to a wide audience within various cross-disciplinary areas.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 370
• Erscheinungstermin: 20. Oktober 2022
• Englisch
• ISBN-13: 9781000781205
• Artikelnr.: 65034660

Autorenporträt

Richard Jiang, Danny Crookes

Inhaltsangabe

1. Enhancement of COVID-19 Diagnosis Using Machine Learning and Texture
Analyses of Lung Imaging 2. Modeling COVID-19 Pandemic Dynamics Using
Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine
Learning Models: A Case Study from Systems Thinking and System
Identification Perspectives 3. Deep Learning-based Respiratory Anomaly and
COVID Diagnosis Using Audio and CT Scan Imagery 4. COVID-19 Forecasting in
India through Deep Learning Models 5. Deep Learning-based Techniques in
Medical Imaging for COVID-19 Diagnosis: A Survey 6. Embedding Explainable
Artificial Intelligence in Clinical Decision Support Systems: The Brain Age
Prediction Case Study 7. Machine Learning-based Biological Ageing
Estimation Technologies: A Survey 8. Review on Social Behavior Analysis of
Laboratory Animals: From Methodologies to Applications 9. Acute
Lymphoblastic Leukemia Diagnosis Using Genetic Algorithm and Enhanced
Clustering-based Feature Selection 10. Artificial Intelligence-enabled
Automated Medical Prediction and Diagnosis in Trauma Patients 11.
DCGAN-based Facial Expression Synthesis for Emotion Well-being Monitoring
with Feature Extraction and Cluster Grouping 12. A Hybrid-DE for Automatic
Retinal Image-based Blood Vessel Segmentation 13. Artificial Intelligence
for Accurate Detection and Analysis of Freezing of Gait in Parkinson's
Disease 14. Sparse Model Identification for Nonstationary and Nonlinear
Neural Dynamics Based on Multiwavelet Basis Expansion 15. How Weather
Conditions Affect the Spread of COVID-19: Findings of a Study Using
Contrastive Learning and NARMAX Models 16. New Measurement of the Body Mass
Index with Bioimpedance Using a Novel Interpretable Takagi-Sugeno Fuzzy
NARX Predictive Model 17. Training Therapy with BCI-based Neurofeedback
Systems for Motor Rehabilitation 18. A Modified Dynamic Time Warping (MDTW)
and Innovative Average Non-self Match Distance (ANSD) Method for Anomaly
Detection in ECG Recordings 19. An Investigation on ECG-based Cardiological
Diagnosis via Deep Learning Models 20. EEG-based Deep Emotional Diagnosis:
A Comparative Study 21. A Novel Motor Imagery EEG Classification Approach
Based on Time-Frequency Analysis and Convolutional Neural Network 22.
Classification of EEG Signals for Brain-Computer Interfaces using a
Bayesian-Fuzzy Extreme Learning Machine
Adrian Rubio-Solis, Carlos Beltran-Perez and Hua-Liang Wei