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Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine


Jan 16, 2023
Madhumita Sushil, Atul J. Butte, Ewoud Schuit, Maarten van Smeden, Artuur M. Leeuwenberg

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Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors


Dec 02, 2022
Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte

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* Under review 

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Developing a general-purpose clinical language inference model from a large corpus of clinical notes


Oct 12, 2022
Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna

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* Under review 

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Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care


Nov 30, 2018
Beau Norgeot, Dmytro Lituiev, Benjamin S. Glicksberg, Atul J. Butte

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* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Scalable and accurate deep learning for electronic health records


May 11, 2018
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 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 Howell, Claire Cui, Greg Corrado, Jeff Dean

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* npj Digital Medicine 1:18 (2018) 
* Published version from https://www.nature.com/articles/s41746-018-0029-1 

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