Scalable and accurate deep learning for electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Peter J. Liu; Xiaobing Liu; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang 043; Gavin E. Duggan; et al. (CoRR, 2018)

Scalable and accurate deep learning with electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Michaela Hardt; Peter J. Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; et al. (npj Digit. Medicine, 2018)

Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. - Beau Norgeot; Kathleen Muenzen; Thomas A. Peterson; Xuancheng Fan; Benjamin S. Glicksberg; Gundolf Schenk; Eugenia Rutenberg; Boris Oskotsky; Marina Sirota; Jinoos Yazdany; Gabriela Schmajuk; Dana Ludwig; et al. (npj Digit. Medicine, 2020)

Training a Transferrable Clinical Language Model from 75 million Notes. - Madhumita Sushil; Dana Ludwig; Atul J. Butte; Vivek A. Rudrapatna (AMIA, 2022)

Developing a general-purpose clinical language inference model from a large corpus of clinical notes. - Madhumita Sushil; Dana Ludwig; Atul J. Butte; Vivek A. Rudrapatna (CoRR, 2022)