Proceedings of the International Health Informatics Conference: Ihic 2022

本書將成為國際健康資訊學會議（IHIC 2022）的論文集。本卷專注於人工智慧、機器學習和深度學習方法，以其自動智能認知知識作為現有醫療工具的輔助工具。本卷涵蓋的主題包括數據挖掘、患者電子健康記錄、醫療保健門戶、遠程醫療、自動識別和數據收集系統、RFID和定位技術、電子健康中的可用性和普及性、醫療決策的人工智慧等。本卷將對學術界和工業界的人士提供寶貴的資源。

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.

Sarika Jain於2001年畢業於印度尼赫魯大學。她於2011年獲得博士學位，專攻於人工智慧中的知識表示領域。她在教育領域服務超過21年，目前在印度國家重要學院之一的國家技術研究所庫魯克西特拉分校任職。Jain博士是超過150篇出版物的作者或合著者，包括專著和編輯的書籍。她曾擔任由AICTE、DRDO、DST和MHRD贊助的項目的負責人。她獲得的獎項和榮譽包括最佳論文獎和最佳教師獎。她與全球各地的研究人員合作，並擔任印度和國際上許多著名會議的程序和指導委員會成員。Jain博士是IEEE的高級會員，ACM的會員，以及CSI的終身會員。

Sven Groppe是德國吕贝克大学的教授。他的出版記錄包括100多篇出版物，其中包括由Springer出版的書籍《Semantic Web数据库中的數據管理和查詢處理》。他曾是DAWG W3C工作組的成員，該組織開發了SPARQL。他是DFG項目LUPOSDATE的項目負責人，該項目還包括兩個關於FPGA加速關聯和語義Web數據庫的研究項目，並且是英特爾硬件加速器研究計劃的成員。他目前是德國研究基金會關於GPU加速數據庫索引和語義物聯網的項目負責人。此外，他還領導一個關於量子計算機加速數據庫優化的項目，並且是一個關於COVID-19高質量知識圖、可視化和疫情分析的項目的項目合作夥伴。他還是ACM SIGMOD和VLDB會議的各種研討會（SBD、VLIoT、BiDEDE）的主席，以及2021年和2022年國際語義智能會議（ISIC）的總主席。他的研究興趣包括物聯網、語義Web、查詢和規則處理和優化、大數據、雲計算、點對點（P2P）網絡、數據可視化和視覺查詢語言。

Nandana Mihindukulasooriya是美國麻省理工學院-IBM Watson AI研究實驗室的研究科學家。Nandana擁有軟件工程碩士學位和人工智慧博士學位。他在語義Web和知識圖、神經符號AI、知識庫問答、從文本中提取知識和信息等主題上發表了60多篇同行評審的出版物，這些出版物發表在高度聲譽的期刊、會議和研討會上。在加入IBM之前，Nandana是西班牙馬德里理工大學的本體工程小組成員，該小組是歐洲領先的研究小組，在本體工程、語義基礎設施、鏈接數據和數據集成等領域廣受認可。他參與了多個歐洲研究項目和西班牙國家項目。Nandana對開源項目非常感興趣，並為多個開源項目做出貢獻。目前，他擔任Apache Software Foundation的Apache Axis和Apache Web Services項目的委員會和項目管理委員會（PMC）成員。他還是ApacheCon US和ApacheCon Europe的演講嘉賓。Nandana是IEEE的高級會員，ACM和AAAI的會員。