Published on in Vol 2, No 2 (2014): Jul-Dec

Enabling Online Studies of Conceptual Relationships Between Medical Terms: Developing an Efficient Web Platform

Enabling Online Studies of Conceptual Relationships Between Medical Terms: Developing an Efficient Web Platform

Enabling Online Studies of Conceptual Relationships Between Medical Terms: Developing an Efficient Web Platform

Journals

  1. Chen D, Zhang R, Liu K, Hou L. Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System. International Journal of Environmental Research and Public Health 2018;15(6):1291 View
  2. Chen D, Zhang R, Feng J, Liu K. Fulfilling information needs of patients in online health communities. Health Information & Libraries Journal 2020;37(1):48 View
  3. Barbantan I, Porumb M, Lemnaru C, Potolea R. Feature Engineered Relation Extraction – Medical Documents Setting. International Journal of Web Information Systems 2016;12(3):336 View
  4. Zhang Y, Ibaraki M, Schwartz F. Disease surveillance using online news: an extended study of dengue fever in India. Tropical Medicine and Health 2019;47(1) View
  5. Xiang Y, Janga S. Building Integrated Ontological Knowledge Structures with Efficient Approximation Algorithms. BioMed Research International 2015;2015:1 View
  6. Hashemikhabir S, Xia R, Xiang Y, Janga S. A Framework for Identifying Genotypic Information from Clinical Records: Exploiting Integrated Ontology Structures to Transfer Annotations between ICD Codes and Gene Ontologies. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018;15(4):1259 View