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2020 – today
- 2020
[c13]Edidiong Okon, Lingyun Shi, Rich Tsui:
Automated Diagnosis Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. AMIA 2020
2010 – 2019
- 2019
- [c12]Victor M. Ruiz, Jorge A. Gálvez, Michael Goldsmith, Maryam Y. Naim, Alejandro Lopez-Magallon, Ricardo Munoz, Rich Tsui:
Leveraging temporal patterns in physiological variables for prediction of critical events in single ventricle infants. AMIA 2019 - [c11]Rich Tsui, Luge Yang, Lingyun Shi, Lezhou Wu:
A Data-Driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records. AMIA 2019 - 2018
- [c10]Victor M. Ruiz Herrera, Lucas Saenz, Alejandro Lopez-Magallon, Ashlee Shields, Henry Ogoe, Gabriella Butler, Ricardo Munoz, Srinivasan Suresh, Rich Tsui:
Early prediction of catastrophic events in pediatric critical care for patients with single ventricle physiology. AMIA 2018 - [c9]José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui:
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA 2018 - 2017
- [c8]Amie D. Barda, Lingyun Shi, Andrew H. Urbach, Srinivasan Suresh, Rich Tsui:
Usability and Acceptability of a System to Identify Pediatric Patients at Risk of 30-day Hospital Readmission Prior to Discharge. AMIA 2017 - [c7]Luge Yang, José D. Posada, Hoah-Der Su, Lingyun Shi, Mi Fan, Rich Tsui:
Using Logistic Regression to Verify Completeness of Electronic Health Records for Infant Mortality Analysis. AMIA 2017 - 2016
- [c6]Amie J. Draper, Andrew H. Urbach, Roger Day, Fereshteh Palmer, Srinivasan Suresh, Rich Tsui:
Preliminary Evaluation of a Multi-Component Intervention Prior to Discharge to Reduce Pediatric 30-Day Readmissions. AMIA 2016 - [c5]José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui:
Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions. AMIA 2016 - 2015
- [c4]Victor M. Ruiz, Amie J. Draper, Ye Ye, Andrew H. Urbach, Rich Tsui:
Use of Diagnosis Related Groups to Predict All-Cause Pediatric Hospital Readmission Within 30 days. AMIA 2015 - 2014
- [c3]Amie J. Draper, Ye Ye, Victor M. Ruiz Herrera, Rich Tsui:
Using Laboratory Data for Prediction of 30-Day Hospital Readmission of Pediatric Seizure Patients. AMIA 2014 - [c2]Victor M. Ruiz Herrera, Ye Ye, Amie J. Draper, Rich Tsui:
The use of multiple emergency department reports per visit for improving the accuracy of influenza case detection. AMIA 2014 - 2013
- [c1]Sisi Lu, Ye Ye, Rich Tsui, Howard Su, Ruhsary Rexit, Sahawut Wesaratchakit, Xiaochu Liu, Rebecca Hwa
:
Domain ontology-based feature reduction for high dimensional drug data and its application to 30-day heart failure readmission prediction. CollaborateCom 2013: 478-484
Coauthor Index
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