Proceedings of the International Health Informatics Conference: IHIC 2022: 990 (Lecture Notes in Electrical Engineering, 990) - Tapa blanda

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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.

De la contraportada

This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2022). This volume focus on artificial intelligence, machine learning, and deep learning approach with their automated intelligent cognitive knowledge as an assisting tool to the existing healthcare tools. The topics covered in this volume are data mining, patient electronic health records, healthcare portals, telemedicine, automatic identification and data collector systems, RFID and localization techniques, usability and ubiquity in e-Health, artificial intelligence for healthcare decision-making, etc. This volume will prove a valuable resource for those in academia and industry.