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Kenneth Jung
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2020 – today
- 2021
- [j9]Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman
, Heather Shaw, Ron C. Li
A framework for making predictive models useful in practice. J. Am. Medical Informatics Assoc. 28(6): 1149-1158 (2021) - [j8]Ethan Steinberg, Kenneth Jung, Jason A. Fries
Language models are an effective representation learning technique for electronic health record data. J. Biomed. Informatics 113: 103637 (2021) - 2020
- [i6]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 abs/2001.05295 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]Juan M. Banda
Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digit. Medicine 2 (2019) - [c6]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: 18-29 - [c5]Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI 2019: 145-155 - 2018
- [j5]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing
Improving palliative care with deep learning. BMC Medical Informatics Decis. Mak. 18(S-4): 55-64 (2018) - [i5]Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR abs/1806.08324 (2018) - [i4]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 abs/1808.03331 (2018) - [i3]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 abs/1812.00371 (2018) - 2017
- [c4]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving palliative care with deep learning. BIBM 2017: 311-316 - [c3]Sébastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, David C. Kale:
The Effectiveness of Transfer Learning in Electronic Health Records Data. ICLR (Workshop) 2017 - [i2]Sébastien Dubois, Nathanael Romano, Nigam Shah, Kenneth Jung:
Learning Effective Representations from Clinical Notes. CoRR abs/1705.07025 (2017) - [i1]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving Palliative Care with Deep Learning. CoRR abs/1711.06402 (2017) - 2016
- [c2]Rohit Vashisht, Kenneth Jung, Nigam Shah:
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse. AMIA 2016 - 2015
- [j4]Kenneth Jung, Paea LePendu
Functional evaluation of out-of-the-box text-mining tools for data-mining tasks. J. Am. Medical Informatics Assoc. 22(1): 121-131 (2015) - [j3]Guan Wang, Kenneth Jung, Rainer Winnenburg
A method for systematic discovery of adverse drug events from clinical notes. J. Am. Medical Informatics Assoc. 22(6): 1196-1204 (2015) - [j2]Kenneth Jung
Implications of non-stationarity on predictive modeling using EHRs. J. Biomed. Informatics 58: 168-174 (2015) - 2013
- [c1]Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan V Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz:
Learning Practice-based Evidence from Unstructured Clinical Notes. AMIA 2013 - 2012
- [j1]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): 2483-2491 (2012)
Coauthor Index
aka: Nigam Shah
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