Computational Intelligence for Clinical Diagnosis
Springer International Publishing (Verlag)
978-3-031-23682-2 (ISBN)
This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.
lt;p>Dr. Ferdin Joe John Joseph is currently an Assistant Professor with the faculty of information technology, Thai Nichi Institute of technology Bangkok. He graduated his bachelor and masters degrees in computer science and engineering from Anna University Chennai during 2009 and 2011 respectively. He got his PhD in Computer Science and Information Systems from the National Institute of Development Administration Bangkok during 2015. His area of research includes deep learning, IoT and Blockchain technology. He has nearly a decade experience in teaching. He has published in peer reviewed international conferences and journals. He is certified as the "Most Valuable Professional" (MVP) with Alibaba Cloud since 2021. He is teaching as per academic curriculum to students, recognizing, nurturing the creative potential of each student. Teach students using a systematic instructional methodology comprising lecture plans (following the credit allotted to each subject), discussion groups, seminars, case studies, field assignments, and independent and/or group projects. Recently, he has been the technique program committee, the technique reviews, and the track chair for international conferences published by Springer Series. He is serving in the editor in chief, the editorial board of international journals, and he authored/edited different books and filed so many Patents. Finally, he is a member of ISTE, IET, Etc...
Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 270 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions 2005-2018 held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair and member in Steering, Advisory or International Program Committees. She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC - Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC - Soft Computing (IEEE SMCS). Dr. Balas was past Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.
Dr S. Suman Rajest is an editor of the International Research Journal of Management, IT and Social Sciences, Editor of The International Journal of Social Sciences World, Editor of The International Journal of Language and Cultural and Journalists, and rhetoric courses and composition. He is the Chief Executive Editor of International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields, The International Journal of Technology Information and Computer, International Journal of Sustainable Technoprise and Computing System,
1. A Novel Approach for Multi class Brain Tumor Classification in MRI Images.- 2. Chicken Swarm-based Feature Selection with Optimal Deep Belief Network for Thyroid Cancer Detection and Classification.- 3. Efficient Method for Predicting Thyroid Disease Classification Using Support Vector Machine Compared Over Logistic Regression.- 4. Optimization of Management Response Towards Airborne Infections.- 5. Adaptive Sailfish Optimization- Contrast Limited Adaptive Histogram Equalization (ASFO-CLAHE) For Hyperparameter Tuning in Image Enhancement.- 6. Efficient Method for Predicting Thyroid Disease Classification Using Convolutional Neural Network Compared Over Support Vector Machine.- 7. Deep Learning in Healthcare Informatics.- 8. Detection of Breast Cancer Diagnosis Algorithm Based On TWCNN Technique.- 9. Internet of Things (IoT) and Artificial Intelligence (AI) to detect Urinary Tract Infections.- 10. Early Detection and Analysis of Diabetics and Non-Diabetics Using Machine Learning.- 11. An Intelligent Air Quality Prediction System Using Neuro-Fuzzy Temporal Classifier with Spatial Constraints .- 12. An Analysis of the Use of Machine Learning in the Diagnosis of Autism Spectrum Disorder .- 13. A Cost-Effective, Agar-Based Phantom for Thermogram Guided Malignancy Analysis.- 14. Multimodality Brain Tumor Image Fusion Using Wavelet and Contourlet Transformation.- 15. Performance based analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer.- 16. Comparative Correlation of Markers of Inflammatory Metamorphism in The Peripheral Blood of Patients with Dorsopathies of Different Genesis.- 17. AIOps Observability and Performance Impact of AI and ML Applications for Central Nervous System Drug Discoveries.- 18. Prediction and Classification of Aerosol Deposition in Lung Using CT Scan Images.- 19. Fusing Medical Images Using Pyramid Decomposition by DLCNN Method.- 20. 3D Cyst Sonomammogram Projection Using Reflection Coefficient and Mass Density in Python.- 21. Contrast Enhancement of Digital Mammograms Based on High Contrast-Limited Adaptive Histogram Equalization.- 22. A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction.- 23. Dispensable Microsystem Technology for Cancer Diagnosis.- 24. Segmentation of Attributes of The Skin Lesion Using Deep Ensemble Models.- 25. The Role of Emotional Intelligence During A Pandemic Crisis.- 26. Efficient Maintenance of Hospital Records by Entrusted Proof of Work (PoW) Algorithm in Block Chain Technology.- 27. Promethean Utilization of Resources Using Honeybee Optimization Techniques in Cloud Computing with Reference to Pandemic Healthcare .- 28. Healthcare Operational Intellectual Ability in Analysing the Factors Affecting Employee Churn.- 29. Impact on Social Work Practise and Research of Technology, Religion, and HIV/AIDS in India.- 30. Detection of Anomalies in Internet of Things (IoT) Network Using Artificial Neural Intelligence for Healthcare.- 31. Evaluation of Antiulcer Potentiality of D-Alpha-Tocopheryl Succinate by Inhibition of Oxidative Stress and Proinflammatory Cytokines .- 32. An Intelligent Air Quality During COVID-19 Prediction and Monitoring System Using Temporal CNN-LSTM.- 33. Implementation of a 'Useful' Information Measure for Healthcare Decision Making.- 34. Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion .- 35. The Security Constructions and Enhancements of Smart Wearable Devices in Modern Technologies and Health Monitoring System.- 36. Hinokitiol attenuates LPS-induced arthritic inflammation - A Preclinical perspective.- 37. Development of Release Modulated Oxaceprol Topical Niosomal Gel: Assessment of Formulation Parameters and Performance Aspects.- 38. Using ICT Technologies, Open-Source Software Affects DHH Healthcare Issues.- 39. Clinical Intelligence for Cloud Services Resource Scheduling using RNN.- 40. The Capability ofObserving Performance in Healthcare Systems .- 41. Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP.- 42. Challenges and Opportunities for IoT Deployment in India's Healthcare Sector.- 43. WADET: A Novel Approach to Chronic Kidney Disease Detection and Analysis.
| Erscheinungsdatum | 07.06.2023 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | XVIII, 592 p. 1 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1075 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | BioInformatics for Healthcare • Blockchain-based Medical Data Security • Clinical Intelligence • Computational Drug Discovery • Deep Learning for Healthcare • Emotional Intelligence for Limited Mobility • Medical Imaging • Pandemic Intelligence for Healthcare |
| ISBN-10 | 3-031-23682-3 / 3031236823 |
| ISBN-13 | 978-3-031-23682-2 / 9783031236822 |
| Zustand | Neuware |
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