This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2023). 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.
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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.
Bharat K. Bhargava (Fellow IEEE and IETE) is a Professor of computer science at Purdue University. He is the Founder of the IEEE Symposium on Reliable and Distributed Systems, the IEEE Conference on Digital Library, and the ACM Conference on Information and Knowledge Management. He is the Editor-in-Chief of four journals and serves on over ten editorial boards of international journals. He has published hundreds of research articles and has won seven best paper awards in addition to the Technical Achievement Award and Golden Core Award from IEEE. Professor Bhargava is conducting research on security and privacy issues in distributed systems. His recent work is on Intelligent Autonomous Systems, data analytics, and machine learning.
Dr Deepshikha Kalra is Dean, MERI and HOD, Dept of Management. She has over 20 years of Experience in Teaching and Software Industry. She is UGCNet qualified and PhD in management having done MBA, Mphil in Management.she has been awarded with prestigious award of distinguished Faculty award by Ambassador of Bhutan on Teacher's day of Bhutan organised by India Bhutan Friendship association.She is also the recipient of Iconic women creating better world for all by WEF. Dr Kalra has published more than 25 publications in Scopus Indexed-/Refereed & UGC listed journals and has Presented several research papers in International /National Conferences. Dr Kalra has been invited as keynote speaker at various universities at national and international level . Her Areas of research are Design Thinking, Behavioural Economics and Public policy.
She is MHRD certified Innovation Ambassador and Mentor MERI Startup Hub
She is a professional administrator and has been handling multiple administrative responsibilities and is instrumental in institutional growth along with initiating quality education, innovation and Social responsibility culture within the campus.
This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2023). 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.
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2023). 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. Codice articolo 9789819771899
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