Alvin Rajkomar

13 papers A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Validity Gap in Health AI Evaluation: A Cross-Sectional Analysis of Benchmark Composition. CoRR Alvin Rajkomar, Pavan Sudarshan, Angela Lai, Lily Peng
2023	—	`conf`	SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes. EMNLP (Findings) Ádám D. Lelkes, Eric Loreaux, Tal Schuster, Ming-Jun Chen, Alvin Rajkomar
2023	J	`jnl`	SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes. CoRR Ádám D. Lelkes, Eric Loreaux, Tal Schuster, Ming-Jun Chen, Alvin Rajkomar
2022	J	`jnl`	Large Language Models Encode Clinical Knowledge. CoRR Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
2020	—	`conf`	Explaining an increase in predicted risk for clinical alerts. CHIL Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt
2019	J	`jnl`	Explaining an increase in predicted risk for clinical alerts. CoRR Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt
2019	J	`jnl`	Improved Patient Classification with Language Model Pretraining Over Clinical Notes. CoRR Jonas Kemp, Alvin Rajkomar, Andrew M. Dai
2019	J	`jnl`	Modelling EHR timeseries by restricting feature interaction. CoRR Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai
2018	J	`jnl`	Reply: metrics to assess machine learning models. npj Digit. Medicine Alvin Rajkomar, Andrew M. Dai, Mimi Sun, Michaela Hardt, Kai Chen, Kathryn Rough, Jeffrey Dean
2018	J	`jnl`	Scalable and accurate deep learning for electronic health records. CoRR Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc V. Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg Corrado, Jeff Dean
2018	J	`jnl`	Scalable and accurate deep learning with electronic health records. npj Digit. Medicine Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean
2018	A	`conf`	Semi-supervised Learning for Information Extraction from Dialogue. INTERSPEECH Anjuli Kannan, Kai Chen, Diana Jaunzeikare, Alvin Rajkomar
2017	J	`jnl`	High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks. J. Digit. Imaging Alvin Rajkomar, Sneha Lingam, Andrew G. Taylor, Michael Blum, John Mongan