Recent advances in AI-enabled automated medical diagnosis. (2022)

• Record Type: Book
• Further Information: Note: Edited by Richard Jiang, Danny Crookes, Hua-Liang Wei, Li Zhang, Paul Chazot.
• Editors: Jiang, Richard; Crookes, Danny, 1956-; Wei, Hua-Liang; Zhang, Li; Chazot, Paul
• Contents: Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging Bhuvan Mittal and Junghwan Oh Modelling 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 and Steve Billings Deep Learning based Respiratory Anomaly and COVID Diagnosis Using Audio and CT Scan Imagery Conor Wall, Chengyu Liu and Li Zhang COVID-19 forecasting in India through Deep Learning Models Arindam Chaudhuri and Soumya Ghosh Deep Learning based Techniques for COVID-19 Diagnostic: A Survey Fozia Mehboob, Abdul Rauf, Khalid M. Malik, Richard Jiang, Abdul K. J. Saudagar, Abdullah AlTameem and Mohammed AlKhathami 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 Machine Learning based Biological Ageing Estimation: A Survey Zhaonian Zhang, Richard Jiang, Danny Crookes and Paul Chazot Review on Social Behaviour Analysis of Laboratory Animals: from Methodologies to Applications Ziping Jiang, Paul Chazot and Richard Jiang 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 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 DCGAN Based Facial Expression Synthesis for Emotion Well-being Monitoring with Feature Extraction and Cluster Grouping Eaby Kollonoor Babu, Kamlesh Mistry and Li Zhang A Hybrid-DE for Automatic Retinal Image-Based Blood Vessel Segmentation Colin Paul Joy, Kamlesh Mistry, Gobind Pillai and Li Zhang Accurate Detection and Analysis of Freezing of Gait in Parkinson’s Disease Wenting Yang, Simeng Li, Debin Huang, Hantao Li, Lipeng Wang, Yanzhao Wei, Wei Zhang and Yuzhu Guo Sparse Model Identification for Nonstationary and Nonlinear Neural Dynamics Based on Multiwavelet Basis Expansion Song Xu, Lina Wang and Jingjing Liu How Weather Conditions Affect the Spread of Covid-19: Findings from a Study Using Contrastive Learning and NARMAX Models Yiming Sun and Hua-Liang Wei 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 Training therapy with BCI-based neurofeedback systems for motor rehabilitation Qiying Cheng, Jingjing Luo, Hongbo Wang, Qiang Du and Youhao Wang 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 An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models Alex Meehan, Zhaonian Zhang, Bryan Williams and Richard Jiang EEG-based Deep Emotional Diagnosis: A Comparative Study Geyi Liu, Zhaonian Zhang, Richard Jiang, Danny Crookes and Paul Chazot A Novel Motor Imagery EEG Classification Approach Based on Time-Frequency analysis and Convolutional Neural Network Qinghua Wang, Lina Wang and Song Xu Classification of EEG Signals for Brain-Computer Interfaces using a Bayesian-Fuzzy Extreme Learning Machine Adrian Rubio-Solis, Carlos Beltran-Perez and Wei Hua-Liang
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 610.28563; Artificial intelligence -- Medical applications; Diagnosis -- Technological innovations
• Languages: English
• ISBNs: 9781000781250; 9781000781205; 9781003176121
• Related ISBNs: 9781032008431
• Notes: Note: Description based on CIP data; resource not viewed.
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