Recent Advances in AI-enabled Automated Medical Diagnosis
eBook - ePub

Recent Advances in AI-enabled Automated Medical Diagnosis

  1. 364 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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.

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Yes, you can access Recent Advances in AI-enabled Automated Medical Diagnosis by Richard Jiang, Li Zhang, Hua-Liang Wei, Danny Crookes, Paul Chazot, Richard Jiang,Li Zhang,Hua-Liang Wei,Danny Crookes,Paul Chazot in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

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