Efficient sampling of protein conformational space using fast loop building and batch minimization on highly parallel computers. - Michael D. Tyka; Kenneth Jung; David Baker 001 (J. Comput. Chem., 2012)

Learning Practice-based Evidence from Unstructured Clinical Notes. - Nigam Shah; Paea LePendu; Anna Bauer-Mehren; Srinivasan V Iyer 002; Kenneth Jung; Tyler Cole; Rave Harpaz (AMIA, 2013)

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks. - Kenneth Jung; Paea LePendu; Srinivasan Iyer 002; Anna Bauer-Mehren; Bethany Percha; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2015)

A method for systematic discovery of adverse drug events from clinical notes. - Guan Wang; Kenneth Jung; Rainer Winnenburg; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2015)

Implications of non-stationarity on predictive modeling using EHRs. - Kenneth Jung; Nigam H. Shah (J. Biomed. Informatics, 2015)

Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse. - Rohit Vashisht; Kenneth Jung; Nigam Shah (AMIA, 2016)

The Effectiveness of Transfer Learning in Electronic Health Records Data. - Sébastien Dubois; Nathanael Romano; Kenneth Jung; Nigam Shah; David C. Kale (ICLR (Workshop), 2017)

Learning Effective Representations from Clinical Notes. - Sébastien Dubois; Nathanael Romano; Nigam Shah; Kenneth Jung (CoRR, 2017)

Countdown Regression: Sharp and Calibrated Survival Predictions. - Anand Avati; Tony Duan; Kenneth Jung; Nigam H. Shah; Andrew Y. Ng (CoRR, 2018)

Predicting Inpatient Discharge Prioritization With Electronic Health Records. - Anand Avati; Stephen Pfohl; Chris Lin; Thao Nguyen; Meng Zhang; Philip Hwang; Jessica Wetstone; Kenneth Jung; Andrew Y. Ng; Nigam H. Shah (CoRR, 2018)

Improving palliative care with deep learning. - Anand Avati; Kenneth Jung; Stephanie Harman; Lance Downing; Andrew Y. Ng; Nigam H. Shah (BMC Medical Informatics Decis. Mak., 2018)

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. - Daisy Yi Ding; Chloé Simpson; Stephen Pfohl; Dave C. Kale; Kenneth Jung; Nigam H. Shah (PSB, 2019)

Countdown Regression: Sharp and Calibrated Survival Predictions. - Anand Avati; Tony Duan; Sharon Zhou; Kenneth Jung; Nigam H. Shah; Andrew Y. Ng (UAI, 2019)

Predicting need for advanced illness or palliative care in a primary care population using electronic health record data. - Kenneth Jung; Sylvia E. K. Sudat; Nicole Kwon; Walter F. Stewart; Nigam H. Shah (J. Biomed. Informatics, 2019)

Finding missed cases of familial hypercholesterolemia in health systems using machine learning. - Juan M. Banda; Ashish Sarraju; Fahim Abbasi; Justin Parizo; Mitchel Pariani; Hannah Ison; Elinor Briskin; Hannah Wand; Sébastien Dubois; Kenneth Jung; Seth A. Myers; Daniel J. Rader; et al. (npj Digit. Medicine, 2019)

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. - Ethan Steinberg; Kenneth Jung; Jason A. Fries; Conor K. Corbin; Stephen R. Pfohl; Nigam H. Shah (CoRR, 2020)

A framework for making predictive models useful in practice. - Kenneth Jung; Sehj Kashyap; Anand Avati; Stephanie Harman; Heather Shaw; Ron C. Li; Margaret Smith; Kenny Shum; Jacob Javitz; Yohan Vetteth; Tina Seto; Steven C. Bagley; et al. (J. Am. Medical Informatics Assoc., 2021)

Language models are an effective representation learning technique for electronic health record data. - Ethan Steinberg; Kenneth Jung; Jason A. Fries; Conor K. Corbin; Stephen R. Pfohl; Nigam H. Shah (J. Biomed. Informatics, 2021)