Kenneth Jung

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 16

Top Topics

Electronic Health Records

Predictive Modeling

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C. Bagley, Nigam H. Shah
A framework for making predictive models useful in practice. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language models are an effective representation learning technique for electronic health record data. J. Biomed. Informatics 113 (2021)
Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. CoRR (2020)
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, Joseph B. Leader, Michael F. Murray, Kelly D. Myers, Katherine Wilemon, Nigam H. Shah, Joshua W. Knowles
Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digit. Medicine 2 (2019)
Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. PSB (2019)
Kenneth Jung, Sylvia E. K. Sudat, Nicole Kwon, Walter F. Stewart, Nigam H. Shah
Predicting need for advanced illness or palliative care in a primary care population using electronic health record data. J. Biomed. Informatics 92 (2019)
Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI (2019)
Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR (2018)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving palliative care with deep learning. BMC Medical Informatics Decis. Mak. 18 (S-4) (2018)
Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah
Predicting Inpatient Discharge Prioritization With Electronic Health Records. CoRR (2018)
Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. CoRR (2018)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving Palliative Care with Deep Learning. CoRR (2017)
Sébastien Dubois, Nathanael Romano, Nigam Shah, Kenneth Jung
Learning Effective Representations from Clinical Notes. CoRR (2017)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving palliative care with deep learning. BIBM (2017)
Sébastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, David C. Kale
The Effectiveness of Transfer Learning in Electronic Health Records Data. ICLR (Workshop) (2017)
Rohit Vashisht, Kenneth Jung, Nigam Shah
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse. AMIA (2016)
Kenneth Jung, Nigam H. Shah
Implications of non-stationarity on predictive modeling using EHRs. J. Biomed. Informatics 58 (2015)
Guan Wang, Kenneth Jung, Rainer Winnenburg, Nigam H. Shah
A method for systematic discovery of adverse drug events from clinical notes. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Kenneth Jung, Paea LePendu, Srinivasan Iyer, Anna Bauer-Mehren, Bethany Percha, Nigam H. Shah
Functional evaluation of out-of-the-box text-mining tools for data-mining tasks. J. Am. Medical Informatics Assoc. 22 (1) (2015)
Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz
Learning Practice-based Evidence from Unstructured Clinical Notes. AMIA (2013)
Michael D. Tyka, Kenneth Jung, David Baker
Efficient sampling of protein conformational space using fast loop building and batch minimization on highly parallel computers. J. Comput. Chem. 33 (31) (2012)