Kenneth Jung

Orcid: 0000-0001-8203-2513

According to our database1, Kenneth Jung authored at least 18 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Language models are an effective representation learning technique for electronic health record data.
J. Biomed. Informatics, 2021

A framework for making predictive models useful in practice.
J. Am. Medical Informatics Assoc., 2021

2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data.
CoRR, 2020

2019
Finding missed cases of familial hypercholesterolemia in health systems using machine learning.
npj Digit. Medicine, 2019

Predicting need for advanced illness or palliative care in a primary care population using electronic health record data.
J. Biomed. Informatics, 2019

Countdown Regression: Sharp and Calibrated Survival Predictions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018
Improving palliative care with deep learning.
BMC Medical Informatics Decis. Mak., 2018

Predicting Inpatient Discharge Prioritization With Electronic Health Records.
CoRR, 2018

Countdown Regression: Sharp and Calibrated Survival Predictions.
CoRR, 2018

2017
Learning Effective Representations from Clinical Notes.
CoRR, 2017

The Effectiveness of Transfer Learning in Electronic Health Records Data.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.
Proceedings of the AMIA 2016, 2016

2015
Implications of non-stationarity on predictive modeling using EHRs.
J. Biomed. Informatics, 2015

A method for systematic discovery of adverse drug events from clinical notes.
J. Am. Medical Informatics Assoc., 2015

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
J. Am. Medical Informatics Assoc., 2015

2013
Learning Practice-based Evidence from Unstructured Clinical Notes.
Proceedings of the AMIA 2013, 2013

2012
Efficient sampling of protein conformational space using fast loop building and batch minimization on highly parallel computers.
J. Comput. Chem., 2012


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