Proceedings of the International Health Informatics Conference
Springer Verlag, Singapore
978-981-19-9089-2 (ISBN)
Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 21 years and is currently in service at the National Institute of Technology Kurukshetra (Institute of National Importance), India. Dr. Jain has authored or co-authored over 150 publications including authored and edited books. She has been a PI of projects sponsored by AICTE, DRDO, DST, and MHRD. Among the awards and honors, she has received are the Best Paper Award and the Best Faculty Award. She works in collaboration with various researchers across the globe and has been involved as a program and steering committee member at many prestigious conferences in India and abroad. Dr. Jain is a senior member of the IEEE, a member of ACM, and a Life Member of CSI. Sven Groppe is a Professor at the University of Lübeck, Germany. His publication record contains over 100 publications, including the book Data Management and Query Processing in Semantic Web Databases, published by Springer. He was a member of the DAWG W3C Working Group, which developed SPARQL. He was the project leader of the DFG project LUPOSDATE and two research projects on FPGA acceleration of relational and Semantic Web databases and is a member of the Hardware Accelerator Research Program by Intel. He is currently the project leader of German Research Foundation projects on GPU accelerated database indices and the Semantic Internet of Things. Furthermore, he is leading a project about quantum computer accelerated database optimizations and he is a project partner in a project about COVID-19 high-quality knowledge graphs, visualizations, and analysis of the pandemic. He is also the chair of various workshops (SBD, VLIoT, BiDEDE) at the ACM SIGMOD and VLDB conferences, and the general chair of the International Semantic Intelligence Conference (ISIC)in 2021 and 2022. His research interests include the Internet of Things, Semantic Web, query and rule processing and optimization, Big Data, Cloud Computing, peer-to-peer (P2P) networks, data visualization, and visual query languages. Nandana Mihindukulasooriya is a research scientist at MIT-IBM Watson AI Research Lab, USA. Nandana holds a master's in Software Engineering and a Ph.D. in Artificial Intelligence. He has published over 60 peer-reviewed publications in highly reputed journals, conferences, and workshops related to topics such as Semantic Web and Knowledge Graphs, Neural-Symbolic AI, Knowledge Base Question Answering, Knowledge Induction from text, and information extraction. Before joining IBM, Nandana was a member of Ontology Engineering Group, Universidad Politécnica de Madrid (Spain) a leading European research group that is widely recognized in the areas of Ontology Engineering, Semantic Infrastructure, Linked Data, and Data Integration. He participated in several European research projects and Spanish national projects. Nandana has a keen interest in open-source and contributes to several open-source projects. Currently, he serves as a committee and a Project Management Committee (PMC) member of Apache Axis and Apache Web Services projects of Apache Software Foundation. He was also a speaker at ApacheCon US and ApacheCon Europe. Nandana is a senior member of the IEEE and a member of ACM and AAAI.
Development of Health Care System using Soft Computing Methods.- A Novel Yoga Based Practice Protocol to Quantify Stress after Performing Attention Task using Non-Invasive Techniques.- A Study of Deep Learning Algorithms in Sentiment Analysis of Diverse Domain.- Frequency Allocation in Cognitive Radio Networks.- An IoT Based Advanced Health Monitoring System.- Fault Tolerance in Vehicular Cloud Networks: Link Failure and Malicious Node Detection and Reconfiguration.- Multifilter Enhanced Doctor and Patient Optimization Algorithm for Cancer Diagnosis.- Disease Diagnostic Model using Fine-Tuned Intensive Learning for Medical Image.- Challenges in Digital Health Care- A Hybrid Decision Approach Understanding Key Challenges in India.- Telemedicine and Healthcare Setting for Remote Care of Patients: Status and Future Implications.- Performance Evaluation of ML Models in the Health Care Domain to Classify Liver Disease: A Case Study.
| Erscheinungsdatum | 10.07.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Electrical Engineering ; 990 |
| Zusatzinfo | 147 Illustrations, color; 60 Illustrations, black and white; XXVIII, 406 p. 207 illus., 147 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Schlagworte | Big Data Analytics in Biomedical Services • Data Mining and Clinical Studies • Deep Learning-based Clinical Decision Making • Deep Learning in Medicine • Health Informatics • IHIC 2022 • IHIC Proceedings • Remote Patient Monitoring • Semantic Intelligence |
| ISBN-10 | 981-19-9089-1 / 9811990891 |
| ISBN-13 | 978-981-19-9089-2 / 9789811990892 |
| Zustand | Neuware |
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