Abstract is missing.
- MedEval- A Swedish Medical Test Collection with Doctors and Patients User GroupsKarin Friberg Heppin. 1-7 [doi]
- Extracting Information for Generating A Diabetes Report Card from Free Text in Physicians NotesRamanjot Singh Bhatia, Amber Graystone, Ross A. Davies, Susan McClinton, Jason Morin, Richard F. Davies. 8-14 [doi]
- Negation Detection in Swedish Clinical TextMaria Skeppstedt. 15-21 [doi]
- Using Domain Knowledge about Medications to Correct Recognition Errors in Medical Report CreationStephanie Schreitter, Alexandra Klein, Johannes Matiasek, Harald Trost. 22-28 [doi]
- Assessment of Utility in Web Mining for the Domain of Public HealthPeter von Etter, Silja Huttunen, Arto Vihavainen, Matti Vuorinen, Roman Yangarber. 29-37 [doi]
- Reliability and Type of Consumer Health Documents on the World Wide Web: an Annotation StudyMelanie Martin. 38-45 [doi]
- Automated Identification of Synonyms in Biomedical Acronym Sense InventoriesGenevieve B. Melton, Sungrim Moon, Bridget T. McInnes, Serguei Pakhomov. 46-52 [doi]
- Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing NarrativesHelen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai. 53-60 [doi]
- Extracting Medication Information from Discharge SummariesScott R. Halgrim, Fei Xia, Imre Solti, Eithon Cadag, Özlem Uzuner. 61-67 [doi]
- Linking SweFN++ with Medical Resources, towards a MedFrameNet for SwedishDimitrios Kokkinakis, Maria Toporowska Gronostaj. 68-71 [doi]
- Measuring Risk and Information Preservation: Toward New Metrics for De-identification of Clinical TextsLynette Hirschman, John S. Aberdeen. 72-75 [doi]
- A Comparison of Several Key Information Visualization Systems for Secondary Use of Electronic Health Record ContentFrancisco Roque, Laura Slaughter, Aleksandr Tkatsenko. 76-83 [doi]
- Machine learning and features selection for semi-automatic ICD-9-CM encodingJulia Medori, Cédrick Fairon. 84-89 [doi]
- Extracting Formulaic and Free Text Clinical Research Articles Metadata using Conditional Random FieldsSein Lin, Jun-Ping Ng, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon, Min-Yen Kan. 90-95 [doi]