Tsui Laboratory Publications



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Below is a list of selected publications and presentations from the Tsui Lab.

Chen C, Tsui F. Comparing Different Wavelet Transforms on Removing Electrocardiogram Baseline Wanders and Special Trends. BMC Medical Informatics and Decision Making. 2020 Jan 01; 20(Suppl 11):343. PMID: 33380333
Tsui F, Shi L, Ruiz V, et al. Design and deployment of a real-time AI-based telehealth system for deterioration prediction of critical-care patients in a large children's hospital. AMIA Symposium. 2020 Nov 01;
Okon E, Shi L, Tsui F. Automated Diagnostic Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. AMIA Symposium. 2020 Nov 01;
Millett NE, Aronis JM, Wagner MM, Tsui F, Ye Y, Ferraro JP, Haug PJ, Gesteland PH, Cooper GF. The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza. Online J Public Health Inform. 2019 Sep 19; 11(2): e6. PubMed PMID: 31632600
Ruiz VM, Saenz L, Lopez-Magallon A, Shields A, Ogoe HA, Suresh S, Munoz R, Tsui FR. Early prediction of catastrophic events in pediatric critical care for patients with single ventricle physiology. J Thorac Cardiovasc Surg. 2019 Jul 01; 158(1):234-243. PubMed PMID: 30948317
Posada J, Shi L, Castro S, Visweswaran S, Ryan ND, Harkema H, Tsui F. Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. American Medical Informatics Association (AMIA). 2018 Mar 03; San Francisco CA, Nov. 3-7 2018
Ye Y, Wagner MM, Cooper GF, Ferraro JP, Su H, Gesteland PH, Haug PJ, Millett NE, Aronis JM, Nowalk AJ, Ruiz VM. A study of the transferability of influenza case detection systems between two large healthcare systems. PloS one. 2017 Apr 05; 12(4):e0174970. PMID: 28380048
Posada JD, Barda AJ, Shi L, Xue D, Ruiz V, Kuan PH, Ryan ND, Tsui F. Predictive Modeling for Classification of Positive Valence System Symptom Severity from Initial Psychiatric Evaluation Records. Journal of Biomedical Informatics. 2017 Nov 01; 75S:S94-S104. PMID: 28571784
Ruiz VM, Palmer F, Suresh S, Urbach AH, Tsui F. Application of machine learning techniques to predict 30-day all-cause pediatric readmissions from laboratory test results and diagnosis-related groups. Pediatric Academic Societies meeting. 2016 Jan 01;
Posada J, Shi L, Ye Y, MS, Ryan N, Ghinass F, Harkema H, Tsui F. Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions. American Medical Informatics Association (AMIA). 2016 Nov 12; Chicago, IL, November 12-16 2016
Tsui F, Posada J, Shi L, Draper AJ, Xue D, Ruiz V, Su H, Kuan P, Mi F, Ye Y, and Ryan N. Predictive modeling for classification of positive valence system severity from initial psychiatric evaluation notes. 2016 CEGS NGRID Shared-Tasks and Workshop on Challenges in Natural Language Processing for Clinical Data. 2016 Nov 11; Chicago, IL, Nov. 11 2016
Posada J, Castro S, Ryan N, Harkema H, and Tsui F. Social-context sentence annotation from psychiatric clinical reports. Science 2016. 2016 Oct 20; University of Pittsburgh, Pittsburgh, PA, Oct. 20 2016
Johnson A and Tsui F. Identifying Risk Factors for Morbidity and Mortality in the Pediatric Cardiac Intensive Care Unit: A Review of 634 Articles. Science 2016. 2016 Oct 20; University of Pittsburgh, Pittsburgh, PA, Oct. 20 2016
Draper A, Urbach A, Day R, Palmer F, Suresh S, Tsui F. Preliminary Evaluation of a Multi-Component Intervention Prior to Discharge to Reduce Pediatric 30-Day Admissions. American Medical Informatics Association (AMIA). 2016 Jan 01;
Pineda AL, Ye Y, Visweswaran S, Cooper G, Wagner M, Tsui, F. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. Journal of Biomedical Informatics. 2015 Dec 01; 58:60-69. PMID: 26385375
Rexit R, Tsui F, Espino J, et. al. An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance. Journal Manager of Information Systems. 2015 Mar 01; 48:151-163
Cooper GF, Villamarín R, Tsui F, et al. A method for detecting and characterizing outbreaks of infectious disease from clinical reports. Journal of Biomedical Informatics. 2015 Feb 01; 53:15-26. PMID: 25181466
Ye Y, Tsui F, Wagner M, Espino JU, Li Q. Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. Journal of American Medical Informatics Association. 2014 Sep 01; 21(5):815-23. PMID: 2440626