1st Edition

Recent Advances in AI-enabled Automated Medical Diagnosis

    370 Pages 14 Color & 142 B/W Illustrations
    by CRC Press

    370 Pages 14 Color & 142 B/W Illustrations
    by CRC Press

    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.

    1. Enhancement of COVID-19 Diagnosis Using Machine Learning and Texture Analyses of Lung Imaging

    Bhuvan Mittal, JungHwan Oh

    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

    Hua-Liang Wei, Stephen A. Billings

    3. Deep Learning-based Respiratory Anomaly and COVID Diagnosis Using Audio and CT Scan Imagery

    Conor Wall, Chengyu Liu and Li Zhang

    4. COVID-19 Forecasting in India through Deep Learning Models

    Arindam Chaudhuri and Soumya K. Ghosh

    5. Deep Learning-based Techniques in Medical Imaging for COVID-19 Diagnosis: A Survey

    Fozia Mehboob, Abdul Rauf, Khalid M. Malik, Richard Jiang, Abdul K.J. Saudagar, Abdullah AlTameem and Mohammed AlKhathami

    6. Embedding Explainable Artificial Intelligence in Clinical Decision Support Systems: The Brain Age Prediction Case Study

    Angela Lombardi, Domenico Diacono, Nicola Amoroso, Alfonso Monaco, Sabina Tangaro and Roberto Bellotti

    7. Machine Learning-based Biological Ageing Estimation Technologies: A Survey

    Zhaonian Zhang, Richard Jiang, Danny Crookes and Paul Chazot

    8. Review on Social Behavior Analysis of Laboratory Animals: From Methodologies to Applications

    Ziping Jiang, Paul L. Chazot and Richard Jiang

    9. Acute Lymphoblastic Leukemia Diagnosis Using Genetic Algorithm and Enhanced Clustering-based Feature Selection

    Siew Chin Neoh, Srisukkham Worawut, Li Zhang and Md. Mostafa Kamal Sarker

    10. Artificial Intelligence-enabled Automated Medical Prediction and Diagnosis in Trauma Patients

    Lianyong Li, Changqing Zhong, Gang Wang, Wei Wu, Yuzhu Guo, Zheng Zhang, Bo Yang, Xiaotong Lou, Ke Li and Heming Yang

    11. DCGAN-based Facial Expression Synthesis for Emotion Well-being Monitoring with Feature Extraction and Cluster Grouping

    Eaby Kollonoor Babu, Kamlesh Mistry and Li Zhang

    12. A Hybrid-DE for Automatic Retinal Image-based Blood Vessel Segmentation

    Colin Paul Joy, Kamlesh Mistry, Gobind Pillai and Li Zhang

    13. Artificial Intelligence for Accurate Detection and Analysis of Freezing of Gait in Parkinson’s Disease

    Wenting Yang, Simeng Li, Debin Huang, Hantao Li, Lipeng Wang, Wei Zhang and Yuzhu Guo

    14. Sparse Model Identification for Nonstationary and Nonlinear Neural Dynamics Based on Multiwavelet Basis Expansion

    Song Xu, Lina Wang and Jingjing Liu

    15. How Weather Conditions Affect the Spread of COVID-19: Findings of a Study Using Contrastive Learning and NARMAX Models

    Yiming Sun and Hua-Liang Wei

    16. New Measurement of the Body Mass Index with Bioimpedance Using a Novel Interpretable Takagi-Sugeno Fuzzy NARX Predictive Model

    Changjiang He, Yuanlin Gu, Hua-Liang Wei and Qinggang Meng

    17. Training Therapy with BCI-based Neurofeedback Systems for Motor Rehabilitation

    Jingjing Luo, Qiying Chen, Hongbo Wang, Youhao Wang and Qiang Du

    18. A Modified Dynamic Time Warping (MDTW) and Innovative Average Non-self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings

    Xinxin Yao and Hua-Liang Wei

    19. An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models

    Alex Meehan, Zhaonian Zhang, Bryan Williams and Richard Jiang

    20. EEG-based Deep Emotional Diagnosis: A Comparative Study

    Geyi Liu, Zhaonian Zhang, Richard Jiang, Danny Crookes and Paul Chazot

    21. A Novel Motor Imagery EEG Classification Approach Based on Time-Frequency Analysis and Convolutional Neural Network

    Qinghua Wang, Lina Wang and Song Xu

    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


    Richard Jiang, Danny Crookes