Mining Biomedical Text, Images and Visual Features for Information Retrieval

Sujata Dash is a Professor of Computer Science at North Orissa University, India, with over 25 years of teaching and research experience. She received the prestigious Titular Fellowship from the Association of Commonwealth Universities, UK, and has served as a visiting professor at the University of Manitoba, Canada. Sujata has authored over 170 publications, including journal articles, conference proceedings, and book chapters in Springer, Elsevier, IEEE, and Wiley. She holds 10 patents and has published influential textbooks and monographs. An active member of international professional associations such as ACM, IEEE, and IACSIT, she also reviews for 15 journals including Bioinformatics and IEEE ACCESS. Sujata has delivered keynote speeches, chaired sessions at global conferences, and serves on the editorial boards of around 10 international journals. Her research interests encompass machine learning, data science, big data analytics, bioinformatics, and intelligent agents, making her a leading expert in computational sciences. Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Professor dos Santos is creator and developer of innovative healthcare solutions for diagnosis and treatment using Artificial Intelligence. Applications in digital epidemiology, neuroscience, diagnostic imaging, diagnosis by signs, diagnosis by laboratory tests, health informatics and bioinformatics. Founder of the Ada Lovelace Association. Leader of the Research Group on Biomedical Computing at UFPE. Enthusiast of social entrepreneurship and innovation in health. Before joining UAB, Dr. Chen was the founding director of the Indiana Center for Systems Biology and Personalized Medicine at Indiana University and a tenured faculty member at Indiana University School of Informatics and Purdue University Computer Science Department. Dr. Chen has over 20 years of research and development experience in biological data mining, systems biology, and translational informatics in both Academia and the industry. He has over 150 peer-reviewed publications and presented worldwide on topics related to biocomputing, bioinformatics, and data sciences in life sciences. He was elected as the President-elect of the Midsouth Computational Biology and Bioinformatics Society (MCBIOS) in 2019. He also serves on the editorial boards of BMC Bioinformatics, Journal of American Medical Informatics Association (JAMIA), and Personalized Medicine.

• Part I: IoT for Biomedical and Health Informatics1. Introduction to IoT and Health Informatics2. IoT system architectures in healthcare3. Computational Intelligence in IoT Healthcare4. Data Privacy in IoT E-health5. IoT big data analytics in the healthcare industry.6. Methodical IoT Based Information System in Healthcare Industry.7. IoT for Smart Healthcare monitoring SystemPart II: Computational Intelligence for Medical Image Processing8. Computational Intelligence approaches in Biomedical image Processing9. Distributed 3-D Medical Image Registration Using Intelligent Agents10. Image Segmentation and Parameterization for Automatic Diagnostics11. Computational Intelligence on Medical Imaging with Artificial Neural Networks12. Evolutionary Computing and Its Use in Medical Imaging13. Image Informatics for Clinical and Preclinical Biomedical Analysis14. Topic Extractions (in Psychology)15. Deep Learning in Medical Image Analysis16. Automatic Segmentation of Multiple Organs on CT Images by Using Deep Learning Approaches17. Medical Image Synthesis using Deep Learning18. Medical Image Mining Using Data Mining Techniques19. Biomedical Image Characterization and Radio genomics Using Machine Learning TechniquesPart III: Biomedical Natural Language Processing20. Medical Ontology for text Categorization System21. Biomedical terminologies resources for Information Retrieval22. Image retrieval and Linguistic Indexing23. Translation of Biomedical terms Using inferring rewriting rules24. Lexical Analysis of Biomedical Ontologies25. Word Sense Disambiguation in biomedical applications26. Domain Specific Semantic Categories in Biomedical applications