Biomedical Data Management

We study various parts of the lifespan of biomedical data including:

• Efficient data entry and Information Extraction in clinical notes.
• Search EHRs and biomedical literature.
• Leverage biomedical ontologies and dictionaries to improve data entry and search.
• Build smart and user-friendly user interfaces for EHR systems and biomedical knowledge repositories.
• Facilitate effective communication among health care stakeholders.

People

• Vagelis Hristidis, PI, Associate Professor, UCR.
• Abhijith Kashyap, PhD student.
• Matthew Wiley, PhD student.

Alumni

• Ramakrishna Varadarajan (PostDoc, University of Wisconsin, Madison)
• Fernando Farfán, (PostDoc, University of Michigan, Ann Arbor)

Collaborators

• Michael Weiner, MD, VA Indianapolis, Regenstrief, Indiana Medical School
• Ellen Brown, EdD, MS, RN, Professor of Nursing, Florida International University
• Redmond P. Burke, MD,  Pediatric Cardiovascular Surgery, Miami Children's Hospital.

Publications

Book

• Vagelis Hristidis. Information Discovery on Electronic Health Records. Published by CRC - Taylor & Francis, 2009
  [Link]

Conferences/Workshops/Journals

• Vagelis Hristidis, Louiqa Raschid and Yao Wu. Scalable Link-based Personalization for Ranking in Entity-Relationship Graphs, 14th SIGMOD International Workshop on the Web and Databases (WebDB) 2011 
  [Download]
• Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos, and Sotiria Tavoulari. Effective Navigation of Query Results Based on Concept Hierarchies, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2011
  [Download]
• Abhijith Kashyap, Vagelis Hristidis and Michalis Petropoulos. FACeTOR: Cost-Driven Exploration of Faceted Query Results, ACM Conference on Information and Knowledge Management (CIKM) 2010. *Best Interdisciplinary Paper Award* 
  [Download]
• Vagelis Hristidis, Ramakrishna Varadarajan, Paul Biondich and Michael Weiner. Information Discovery on Electronic Medical Records Using Authority-Flow Techniques, BMC Medical Informatics and Decision Making, 2010
  [Link]
• Vagelis Hristidis, Yuheng Hu and Panagiotis G. Ipeirotis. Relevance-based Retrieval on Hidden-Web Text Databases without Ranking Support, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2010
  [Download]
• Vagelis Hristidis, Yuheng Hu and Panagiotis G.Ipeirotis. Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support. IEEE ICDE 2010, short paper (acceptance rate 20%) 
  [Download]
• Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos and Sotiria Tavoulari. Exploring Biomedical Databases with BioNav. Demo Paper, ACM SIGMOD Conference 2009 (acceptance rate 37%) 
  [Download]
• Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa Raschid, Maria-Esther Vidal, Luis lbanez and Hector Rodriguez-Drumond: Flexible and Efficient Querying and Ranking on Hyperlinked Data Sources, EDBT 2009 (full paper, acceptance rate 33%) 
  [Download]
• Fernando Farfán, Vagelis Hristidis, Anand Ranganathan, and Michael Weiner. XOntoRank: Ontology-Aware Search of Electronic Medical Records. IEEE International Conference on Data Engineering (ICDE) 2009 (long paper, acceptance rate 17%) 
  [Download]
• Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos, and Sotiria Tavoulari. BioNav: Effective Navigation on Query Results of Biomedical Databases. IEEE International Conference on Data Engineering, ICDE 2009 (short paper, acceptance rate 27%) 
  [Download]
• Vagelis Hristidis, Fernando Farfán, Redmond P. Burke, Anthony F. Rossi, Jeffrey A. White. Challenges for Information Discovery on Electronic Medical Records. Book Chapter in Next Generation of Data Mining. CRC - Taylor & Francis. Editors: Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, Vipin Kumar. 2008
• Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa Raschid. Explaining and Reformulating Authority Flow Queries. IEEE ICDE 2008 (full paper, short presentation, acceptance rate 19%) 
  [Download]
• Fernando Farfán, Vagelis Hristidis, Anand Ranganathan, Redmond P. Burke. Ontology-Aware Search on XML-based Electronic Medical Records. Poster Paper, IEEE ICDE 2008 (acceptance rate 31%) 
  [Download]