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]Paper  doi  bibtex   
@article{li_fine-tuning_2019,
	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 = {Li, Fei and Jin, Yonghao and Liu, Weisong and Rawat, Bhanu Pratap Singh and Cai, Pengshan and Yu, Hong},
	month = sep,
	year = {2019},
	pmid = {31516126 PMCID: PMC6746103},
	pages = {e14830},
}

Downloads: 0