Tsui Laboratory Publications

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

Richie R, Ruiz VM, Han S, Shi L, Tsui FR. Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition. J Am Med Inform Assoc. 2023 Apr; ocad046. Epub ahead of print. PMID: 37002953
Peet ED, Schultz D, Lovejoy S, Tsui FR. Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods. Health Econ. 2023 Jan; 32(1):194-217. PMID: 36251335
Richie R, Ruiz V, Han S, Shi L, Tsui FR. Using dual transformers for multi-task, multi-label token classification (MTML-BERT) to extract social determinants of health from clinical notes. 2022 National NLP Clinical Challenges (n2c2) Shared Task and Workshop. 2022 Nov; Washington, DC
Tsui FR, Shi L, Ruiz V, Grover S, Zhu V, Simpao A, and Goldsmith M. Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data. AI Showcase Stage III, American Medical Informatics Association (AMIA) Annual Symposium, AI Evaluation Showcase-Stage III . 2022 Nov
Han S, Shi L, Richie R, Tsui FR. Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring. Info Sci. 2022 Nov; 615:90-102
Silva LEV, Shi L, Ko TS, Gaudio H, Padmanabahn V, Morgan RW, Slovis JM, Forti RM, Morton S, Lin Y, Laurent GH, Breimann J, Yun B, Ranieri NR, Bowe M, Baker WB, Kilbaugh TJ, Tsui FR. Prediction of return of spontaneous circulation using physiological waveforms during cardiopulmonary resuscitation in a pediatric experimental model of cardiac arrest: a machine learning pilot study. nternational Conference on Intelligent Biology and Medicine. 2022 Aug; Philadelphia, PA
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. 2022 Jul; 164(1): 221-222. PMID: 34949457
Shi L, Muthu N, Shaeffer GP, Sun Y, Ruiz Herrera VM, Tsui FR. Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records. Stud Health Technol Inform. 2022 Jun; 290:660-664. PMID: 35673099
Richie R, Grover S, Tsui FR. Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations. Proceedings of the 21st Workshop on Biomedical Language Processing Page. 2022 May; 275-284
Tsui FR, Shi L, Ruiz V, Grover S, Zhu V, Simpao A, Goldsmith M. Usability and workflow evaluation of the Intensive care Warning INdex system (I-WIN) for early prediction of clinical deterioration and intervention. AI Showcase Stage II, American Medical Informatics Association (AMIA) Clinical Informatics Conference. 2022 May; Houston, TX
Tsui FR, Ruiz V, Goldsmith M, Shi L, Scharf M, Naim M, Simpao A. I-WIN: an Intensive care Warning INdex System for Early Prediction of Clinical Deterioration and Intervention using Data-driven Machine Learning Modeling of Electronic Health Record Data. AI Showcase Stage I, American Medical Informatics Association 2022 Informatics Summit. 2022 Mar; Chicago, IL
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
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. 2022 Jan; 164(1): 211-222.e3. PubMed 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. 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 Jan; 4(1):ooab011. doi: 10.1093/jamiaopen/ooab011. eCollection 2021 Jan. PubMed PMID: 33758800; PubMed Central PMCID: PMC7966858
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
Okon E, Shi L, Tsui F. Automated Diagnostic Coding from Clinical Notes Using Attention-Augmented Recurrent Convolutional Neural Networks. AMIA Symposium. 2020 Nov
Chen C, Tsui F. Comparing Different Wavelet Transforms on Removing Electrocardiogram Baseline Wanders and Special Trends. BMC Med Inform Decis Mak. 2020 Jan; 20(Suppl 11):343. PMID: 33380333
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; 48:151-163