Expanding vocabularies for complementary and alternative medicine therapies

International Journal of Medical Informatics - Tập 121 - Trang 64-74 - 2019
Lou Ann Scarton1, Liqin Wang2,3, Halil Kilicoglu4, Margaret Jahries5, Guilherme Del Fiol1
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA
2Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, 1620 Tremont St, Boston, MA 02120, USA
3Harvard Medical School, A-111, 25 Shattuck Street, Boston, MA 02115, USA
4Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA
5Gateway Emerging Technology Wellness Center, 440 West 200 South, Suite 250, Salt Lake City, Utah 84101, USA

Tài liệu tham khảo

2007 2007 Verhoef, 2009, Complementary therapies for cancer patients- assessing information use and needs, Chronic Dis. Can., 29 Balneaves, 2008, Patient decision-making about complementary and alternative medicine in cancer management- context and process, Curr. Oncol., 15 Tustin, 2010, The role of patient satisfaction in online health information seeking, J. Health Commun., 15, 3, 10.1080/10810730903465491 Tachjian, 2010, Use of herbal products and potential interactions in patients with cardiovascular diseases, J. Am. Coll. Cardiol., 55, 515, 10.1016/j.jacc.2009.07.074 Bozza, 2015, Complementary and alternative medicine in oncology, Recenti Prog. Med., 106, 601 Mazzocut, 2016, Web conversations about complementary and alternative medicines and cancer: content and sentiment analysis, J. Med. Internet Res., 18, e120, 10.2196/jmir.5521 Eng, 2003, A population-based survey of complementary and alternative medicine use in men recently diagnosed with prostate cancer, Integr. Cancer Ther., 2, 212, 10.1177/1534735403256207 Wang, 2016, Generating disease-pertinent treatment vocabularies from MEDLINE citations, J. Biomed. Inform. Alpay, 2009, Current challenge in consumer health informatics: bridging the gap between access to information and information understanding, Biomed. Inform. Insights, 2, 1 Scarton, 2013, Completeness, accuracy, and presentation of information on interactions between prescription drugs and alternative medicines: an internet review, Stud. Health Technol. Inform., 192, 841 Weeks, 2014, Decision-making about complementary and alternative medicine by cancer patients: integrative literature review, Open Med., 8, e54 Echlin, 2002 Singh, 2005, Understanding the motivation for conventional and complementary/alternative medicine use among men with prostate cancer, Integr. Cancer Ther., 4, 187, 10.1177/1534735405276358 Fox, 2003 Bodenreider, 2008, Biomedical ontologies in action: role in knowledge management, data integration and decision support, Yearb. Med. Inform., 67 Noy, 2001 Wang, 2016, A method for the development of disease-specific reference standards vocabularies from textual biomedical literature resources, Artif. Intell. Med., 68, 47, 10.1016/j.artmed.2016.02.003 Scarton, 2017, Understanding cancer survivors’ information needs and information-seeking behaviors for complementary and alternative medicine (CAM) from short to long-term survival – a mixed-methods study, J. Med. Libr. Assoc. Kilicoglu, 2012, SemMedDB: a PubMed-scale repository of biomedical semantic predications, Bioinformatics, 28, 3158, 10.1093/bioinformatics/bts591 Rindflesch, 2003, The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text, J. Biomed. Inform., 36, 462, 10.1016/j.jbi.2003.11.003 Rindflesch, 2005, Semantic interpretation for the biomedical research literature, Med. Inform. (Lond), 399, 10.1007/0-387-25739-X_14 Kilicoglu, 2011, Constructing a semantic predication gold standard from the biomedical literature, BMC Bioinf., 12, 486, 10.1186/1471-2105-12-486 Haynes, 1994, Developing optimal search strategies for detecting clinically sound studies in MEDLINE, J. Am. Med. Inform. Assoc., 6, 447, 10.1136/jamia.1994.95153434 2018 South, 2012, A prototype tool set to support machine-assisted annotation, 130 Hripcsak, 2005, Agreement, the f-measure, and reliability in information retrieval, J. Am. Med. Inform. Assoc., 12, 296, 10.1197/jamia.M1733 Fiszman, 2009, Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation, J. Biomed. Inform., 42, 801, 10.1016/j.jbi.2008.10.002 Fiszman, 2003, Abstraction summarization for managing the biomedical research literature, 76 Hill, 2010, Absolute risk representation in cardiovascular disease prevention: comprehension and preferences of health care consumers and general practitioners involved in a focus group study, BMC Public Health, 10, 108, 10.1186/1471-2458-10-108 2012