High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks. - Alvin Rajkomar; Sneha Lingam; Andrew G. Taylor; Michael Blum; John Mongan (J. Digit. Imaging, 2017)

Semi-supervised Learning for Information Extraction from Dialogue. - Anjuli Kannan; Kai Chen 010; Diana Jaunzeikare; Alvin Rajkomar (INTERSPEECH, 2018)

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)

Reply: metrics to assess machine learning models. - Alvin Rajkomar; Andrew M. Dai; Mimi Sun; Michaela Hardt; Kai Chen 010; Kathryn Rough; Jeffrey Dean (npj Digit. Medicine, 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)

Improved Patient Classification with Language Model Pretraining Over Clinical Notes. - Jonas Kemp; Alvin Rajkomar; Andrew M. Dai (CoRR, 2019)

Modelling EHR timeseries by restricting feature interaction. - Kun Zhang 043; Yuan Xue; Gerardo Flores; Alvin Rajkomar; Claire Cui; Andrew M. Dai (CoRR, 2019)

Explaining an increase in predicted risk for clinical alerts. - Michaela Hardt; Alvin Rajkomar; Gerardo Flores; Andrew M. Dai; Michael D. Howell; Greg Corrado; Claire Cui; Moritz Hardt (CHIL, 2020)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes. - Ádám D. Lelkes; Eric Loreaux; Tal Schuster; Ming-Jun Chen; Alvin Rajkomar (EMNLP (Findings), 2023)