This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.
Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).
The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.
This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications—and to further develop this important research direction.
Author(s): Nguyen Hoang Phuong; Vladik Kreinovich
Series: Studies in Computational Intelligence, 1097
Publisher: Springer Nature Switzerland
Year: 2023
Language: English
Pages: 282
City: Cham
Biomedical and Other Human-Related Applications of Soft Computing
Type-2 Fuzzy Relations: An Approach towards Representing Uncertainty in Associative Medical Relationships
Bassam Haddad and Klaus-Peter Adlassnig
Mental States Detection by Extreme Gradient Boosting and k-Means
Nam Anh Dao and Quynh Anh Nguyen
Why Decreased Gaps Between Brain Cells Cause Severe Headaches: A Symmetry-Based Geometric Explanation
Laxman Bokati, Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
Drug Repositioning for Drug Disease Association in Meta-paths
Xuan Tho Dang, Manh Hung Le and Nam Anh Dao
iR1mA-LSTM: Identifying N-Methyladenosine Sites in Human Transcriptomes Using Attention-Based Bidirectional Long Short-Term Memory
Trang T. T. Do, Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Phuong-Uyen Nguyen-Hoang, Loc Nguyen and Binh P. Nguyen
Explaining an Empirical Formula for Bioreaction to Similar Stimuli (Covid-19 and Beyond)
Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
Game-Theoretic Approach Explains—On the Qualitative Level—The Antigenic Map of Covid-19 Variants
Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
Application of the Artificial Intelligence Technique to Recognize and Analyze from the Image Data
Lu Anh Duy Phan and Ha Quang Thinh Ngo
Machine Learning-Based Approaches for Internal Organs Detection on Medical Images
Duy Thuy Thi Nguyen, Mai Nguyen Lam Truc, Thu Bao Thi Nguyen, Phuc Huu Nguyen, Vy Nguyen Hoang Vo, Linh Thuy Thi Pham and Hai Thanh Nguyen
Smart Bra Based on Impact and Acceleration Sensors Integrated Communication Techniques for Sexual Harassment Prevention
Linh Thuy Thi Pham, Thinh Phuc Nguyen, Khoi Vinh Lieu, Huynh Nhu Tran and Hai Thanh Nguyen
Smart Blind Stick Integrated with Ultrasonic Sensors and Communication Technologies for Visually Impaired People
Linh Thuy Thi Pham, Lac Gia Phuong, Quang Tam Le and Hai Thanh Nguyen
Segmentation of the Abnormal Regions in Breast Cancer X-Ray Images Using U-Net
Nguyen Hoang Phuong, Ha Manh Toan, Nguyen Van Thi, Ngo Le Lam, Nguyen Khac-Dung and Dao Van Tu
Why FLASH Radiotherapy is Efficient: A Possible Explanation
Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
Data Augmentation Techniques Evaluation on Ultrasound Images for Breast Tumor Segmentation Tasks
Trang Minh Vo, Thien Thanh Vo, Tan Tai Phan, Hai Thanh Nguyen and Dien Thanh Tran
Applications to Finances
Stock Price Movement Prediction Using Text Mining and Sentiment Analysis
Nguyen Thi Huyen Chau, Le Van Kien and Doan Trung Phong
Applications to Transportation Engineering
Lightweight Models’ Performances on a Resource-Constrained Device for Traffic Application
Tuan Linh Dang, Duc Loc Le, Trung Hieu Pham and Xuan Tung Tran
IT2-Neuro-Fuzzy Wavelet Network with Jordan Feedback Structure for the Control of Aerial Robotic Vehicles with External Disturbances
Rahul Kumar, Uday Pratap Singh, Arun Bali and Siddharth Singh Chouhan
How Viscosity of an Asphalt Binder Depends on Temperature: Theoretical Explanation of an Empirical Dependence
Edgar Daniel Rodriguez Velasquez and Vladik Kreinovich
Applications to Physics, Including Physics Behind Computations
Why in MOND—Alternative Gravitation Theory—A Specific Formula Works the Best: Complexity-Based Explanation
Olga Kosheleva and Vladik Kreinovich
Why Color Optical Computing?
Victor L. Timchenko, Yury P. Kondratenko and Vladik Kreinovich
Non-localized Physical Processes Can Help Speed Up Computations, Be It Hidden Variables in Quantum Physics or Non-localized Energy in General Relativity
Michael Zakharevich, Olga Kosheleva and Vladik Kreinovich
General Studies of Soft Computing Techniques
Computational Paradox of Deep Learning: A Qualitative Explanation
Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
Graph Approach to Uncertainty Quantification
Hector A. Reyes, Cliff Joslyn and Vladik Kreinovich
How to Combine Expert Estimates? How to Estimate Probability in the Intersection of Two Populations?
Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich and Nguyen Hoang Phuong
