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Tsui Laboratory Publications
Below is a list of selected publications and presentations from the Tsui Lab.
Han S, Zhang RF, Shi L, Richie R, Liu H, Tseng A, Quan W, Ryan N, Brent D, Tsui FR. Classifying Social Determinants of Health from Unstructured Electronic Health Records Using Deep Learning-based Natural Language Processing. J Biomed Inform. 2022 Jan; 103984. doi: 10.1016/j.jbi.2021.103984. Epub ahead of print. PMID: 35007754
Ruiz VM, Goldsmith MP, Shi L, Simpao AF, Gálvez JA, Naim MY, Nadkarni V, Gaynor JW, Tsui FR. Early prediction of clinical deterioration using data-driven machine-learning modeling of electronic health records. J Thorac Cardiovasc Surg. 2021 Nov; S0022-5223(21)01658-5. doi: 10.1016/j.jtcvs.2021.10.060. Epub ahead of print. PMID: 34949457
Shi L, Muthu N, ShafferGP, Sun Y, Ruiz Herrera VM, Tsui F. Using data-driven machine learning to predict unplanned ICU transfers with critical deterioration from electronic health records Proceedings of MedInfo 2021. International Medical Informatics Association. 2021 Oct
Simpao AF, Wu L, Nelson O, Gálvez JA, Tan JM, Wasey JO, Muhly WT, Tsui FC, Masino AJ, Stricker PA. Fasting Duration and Blood Pressure in Children: Reply. Anesthesiology. 2021 Apr; 134(4):668-669. doi: 10.1097/ALN.0000000000003693. PMID: 33493260
Tsui FR, Shi L, Ruiz V, Ryan ND, Biernesser C, Iyengar S, Walsh CG, Brent DA. Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts. JAMIA Open. 2021 Mar; 4(1):ooab011. doi: 10.1093/jamiaopen/ooab011. PMID: 33758800; PMCID: PMC7966858
Okon E, Shi L, Tsui F. Automated Diagnostic Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. AMIA Symposium. 2020 Nov
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
Chen C, Tsui F. Comparing Different Wavelet Transforms on Removing Electrocardiogram Baseline Wanders and Special Trends. BMC Medical Informatics and Decision Making. 2020 Jan; 20(Suppl 11):343. PMID: 33380333
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; 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; 158(1):234-243. PubMed PMID: 30948317
Barda AJ, Ruiz VM, Gigliotti T, Tsui FR. An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance. JAMIA Open. 2019 Apr; 2(1):197-204. PubMed PMID: 30944914
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; San Francisco CA, Nov. 3-7 2018
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; 75S:S94-S104. PMID: 28571784
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; 12(4):e0174970. PMID: 28380048
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; Chicago, IL, Nov. 11 2016
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; Chicago, IL, November 12-16 2016
Posada J, Castro S, Ryan N, Harkema H, and Tsui F. Social-context sentence annotation from psychiatric clinical reports. Science 2016. 2016 Oct; 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; 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
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