Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. Li, F., Jin, Y., Liu, W., Rawat, B. P. S., Cai, P., & Yu, H. JMIR Medical Informatics, 7(3):e14830, September, 2019.
![Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex
Paper doi bibtex Downloads: 0
{"_id":"BqdCCwosB77fWFao7","bibbaseid":"li-jin-liu-rawat-cai-yu-finetuningbidirectionalencoderrepresentationsfromtransformersbertbasedmodelsonlargescaleelectronichealthrecordnotesanempiricalstudy-2019","author_short":["Li, F.","Jin, Y.","Liu, W.","Rawat, B. P. S.","Cai, P.","Yu, H."],"bibdata":{"bibtype":"article","type":"article","title":"Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study","volume":"7","issn":"2291-9694","shorttitle":"Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes","url":"http://medinform.jmir.org/2019/3/e14830/","doi":"10.2196/14830","language":"en","number":"3","urldate":"2019-10-07","journal":"JMIR Medical Informatics","author":[{"propositions":[],"lastnames":["Li"],"firstnames":["Fei"],"suffixes":[]},{"propositions":[],"lastnames":["Jin"],"firstnames":["Yonghao"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Weisong"],"suffixes":[]},{"propositions":[],"lastnames":["Rawat"],"firstnames":["Bhanu","Pratap","Singh"],"suffixes":[]},{"propositions":[],"lastnames":["Cai"],"firstnames":["Pengshan"],"suffixes":[]},{"propositions":[],"lastnames":["Yu"],"firstnames":["Hong"],"suffixes":[]}],"month":"September","year":"2019","pmid":"31516126 PMCID: PMC6746103","pages":"e14830","author_short":["Li, F.","Jin, Y.","Liu, W.","Rawat, B. P. S.","Cai, P.","Yu, H."],"key":"li_fine-tuning_2019","id":"li_fine-tuning_2019","bibbaseid":"li-jin-liu-rawat-cai-yu-finetuningbidirectionalencoderrepresentationsfromtransformersbertbasedmodelsonlargescaleelectronichealthrecordnotesanempiricalstudy-2019","role":"author","urls":{"Paper":"http://medinform.jmir.org/2019/3/e14830/"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"http://fenway.cs.uml.edu/papers/pubs-all.bib","dataSources":["TqaA9miSB65nRfS5H"],"keywords":[],"search_terms":["fine","tuning","bidirectional","encoder","representations","transformers","bert","based","models","large","scale","electronic","health","record","notes","empirical","study","li","jin","liu","rawat","cai","yu"],"title":"Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study","year":2019}