Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.
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.
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
Parkinsons 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
Lisainfo e-raamatute kohta