Edited by Sijia Liu, Yanshan Wang and Hongfang Liu
Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):262
Volume 19 Supplement 10
Selected Articles from the BioCreative/OHNLP Challenge 2018
Research
Publication of this supplement was funded by National Institute of Health, National Institute of General Medical Sciences R01-GM102282 and National Center for Advancing Translational Sciences U01TR02062. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
Washington, D.C., USA29 August-01 September 2018
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Family history information extraction via deep joint learning
Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is ve...
Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):277
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Family member information extraction via neural sequence labeling models with different tag schemes
Family history information (FHI) described in unstructured electronic health records (EHRs) is a valuable information source for patient care and scientific researches. Since FHI is usually described in the fo...
Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):257
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