{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:45:18Z","timestamp":1747118718377},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"S3","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1186\/s12911-019-0777-0","type":"journal-article","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T00:02:15Z","timestamp":1554336135000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Special issue of BMC medical informatics and decision making on health natural language processing"],"prefix":"10.1186","volume":"19","author":[{"given":"V. G. Vinod","family":"Vydiswaran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaoyun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanshan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,4]]},"reference":[{"key":"777_CR1","doi-asserted-by":"publisher","unstructured":"Yao L, Mao C, Luo Y. Clinical text classification with rule-based features and knowledge-guided convolutional neural networks. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0781-4\n                    \n                  .","DOI":"10.1186\/s12911-019-0781-4"},{"issue":"4","key":"777_CR2","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1197\/jamia.M3115","volume":"16","author":"\u00d6 Uzuner","year":"2009","unstructured":"Uzuner \u00d6. Recognizing obesity and comorbidities in sparse data. J Am Med Inform Assoc. 2009;16(4):561\u201370.","journal-title":"J Am Med Inform Assoc"},{"key":"777_CR3","doi-asserted-by":"publisher","unstructured":"Zhang Y, Tiryaki F, Jiang M, Xu H. Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0783-2\n                    \n                  .","DOI":"10.1186\/s12911-019-0783-2"},{"key":"777_CR4","doi-asserted-by":"publisher","unstructured":"Tang B, Wang X, Yan J, Chen Q. Entity Recognition in Chinese Clinical text using Attention-based CNN-LSTM-CRF. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0787-y\n                    \n                  .","DOI":"10.1186\/s12911-019-0787-y"},{"key":"777_CR5","doi-asserted-by":"publisher","unstructured":"Wang Y, Mehrabi S, Sohn S, Atkinson EJ, Amin S, Liu H. Natural language processing of radiology reports for identification of skeletal Site-Specific Fractures. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0780-5\n                    \n                  .","DOI":"10.1186\/s12911-019-0780-5"},{"key":"777_CR6","doi-asserted-by":"publisher","unstructured":"Hanauer DA, Mei Q, Vydiswaran VGV, Singh K, Landis-Lewis Z, Weng C. Complexities, variations, and errors of numbering within clinical notes: The potential impact on information extraction and cohort-identification. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0784-1\n                    \n                  .","DOI":"10.1186\/s12911-019-0784-1"},{"key":"777_CR7","doi-asserted-by":"publisher","unstructured":"Cook MJ, Yao L, Wang X. Facilitating accurate health provider directories using natural language processing. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0788-x\n                    \n                  .","DOI":"10.1186\/s12911-019-0788-x"},{"key":"777_CR8","doi-asserted-by":"publisher","unstructured":"Wang L, Wang Y, Shen F, Rastegar-Mojarad M, Liu H. Discovering associations between problem list and practice setting. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0779-y\n                    \n                  .","DOI":"10.1186\/s12911-019-0779-y"},{"key":"777_CR9","doi-asserted-by":"publisher","unstructured":"Kreuzthaler M, Pfeifer B, Ramos JAV, Kramer D, Grogger V, Bredenfeldt S, Pedevilla M, Krisper P, Schulz S. EHR problem list clustering for improved topic-space navigation. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0789-9\n                    \n                  .","DOI":"10.1186\/s12911-019-0789-9"},{"key":"777_CR10","doi-asserted-by":"publisher","unstructured":"Weng C, Friedman C, Rommel CA, Hurdle JF. A two-site survey of medical center personnel\u2019s willingness to share clinical data for research: implications for reproducible health NLP research. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0778-z\n                    \n                  .","DOI":"10.1186\/s12911-019-0778-z"},{"key":"777_CR11","doi-asserted-by":"publisher","unstructured":"Sharma H, Mao C, Zhang Y, Vatani H, Yao L, Zhong Y, Rasmussen L, Jiang G, Pathak J, Luo Y. Developing a portable natural language processing based phenotyping system. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0786-z\n                    \n                  .","DOI":"10.1186\/s12911-019-0786-z"},{"key":"777_CR12","doi-asserted-by":"publisher","unstructured":"Vydiswaran VGV, Reddy M. Identifying peer experts in online health forums. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0782-3\n                    \n                  .","DOI":"10.1186\/s12911-019-0782-3"},{"key":"777_CR13","doi-asserted-by":"publisher","unstructured":"Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causal relations from Twitter messages using natural language processing. \n                    https:\/\/doi.org\/10.1186\/s12911-019-0785-0\n                    \n                  .","DOI":"10.1186\/s12911-019-0785-0"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-019-0777-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12911-019-0777-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-019-0777-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T09:49:39Z","timestamp":1585907379000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-019-0777-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":13,"journal-issue":{"issue":"S3","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["777"],"URL":"https:\/\/doi.org\/10.1186\/s12911-019-0777-0","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]},"assertion":[{"value":"4 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing financial interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"76"}}