Spot the difference: comparing results of analyses from real patient data and synthetic derivatives RE Foraker, SC Yu, A Gupta, AP Michelson, JA Pineda Soto, R Colvin, ... JAMIA open 3 (4), 557-566, 2020 | 45 | 2020 |
Factors associated with variability in the performance of a proprietary sepsis prediction model across 9 networked hospitals in the US PG Lyons, MR Hofford, CY Sean, AP Michelson, PRO Payne, CL Hough, ... JAMA internal medicine 183 (6), 611-612, 2023 | 22 | 2023 |
Comparison of sepsis definitions as automated criteria SC Yu, KD Betthauser, A Gupta, PG Lyons, AM Lai, MH Kollef, ... Critical care medicine 49 (4), e433-e443, 2021 | 21 | 2021 |
The clinical course of coronavirus disease 2019 in a US hospital system: a multistate analysis A Mody, PG Lyons, C Vazquez Guillamet, A Michelson, S Yu, ... American journal of epidemiology 190 (4), 539-552, 2021 | 21 | 2021 |
Comparison of early warning scores for sepsis early identification and prediction in the general ward setting SC Yu, N Shivakumar, K Betthauser, A Gupta, AM Lai, MH Kollef, ... JAMIA open 4 (3), ooab062, 2021 | 19 | 2021 |
A pragmatic machine learning model to predict carbapenem resistance RJ McGuire, SC Yu, PRO Payne, AM Lai, MC Vazquez-Guillamet, ... Antimicrobial agents and chemotherapy 65 (7), 10.1128/aac. 00063-21, 2021 | 17 | 2021 |
Deconvolution of images from 3D printed cells in layers on a chip S Yu, P Joshi, YJ Park, KN Yu, MY Lee Biotechnology progress 34 (2), 445-454, 2018 | 9 | 2018 |
Self-explaining neural network with concept-based explanations for ICU mortality prediction S Kumar, SC Yu, T Kannampallil, Z Abrams, A Michelson, PRO Payne Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 7 | 2022 |
A review of clinical workflow studies and methods P Payne, M Lopetegui, S Yu Cognitive Informatics: Reengineering Clinical Workflow for Safer and More …, 2019 | 7 | 2019 |
Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling SC Yu, MR Hofford, AM Lai, MH Kollef, PRO Payne, AP Michelson Journal of the American Medical Informatics Association 29 (5), 813-821, 2022 | 5 | 2022 |
Novel Visualization of Clostridium difficile Infections in Intensive Care Units CY Sean, AM Lai, J Smyer, J Flaherty, JE Mangino, AS McAlearney, ... ACI open 3 (02), e71-e77, 2019 | 4 | 2019 |
OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification MR Hofford, SC Yu, AEW Johnson, AM Lai, PRO Payne, AP Michelson JAMIA open 5 (4), ooac105, 2022 | 3 | 2022 |
Sepsis prediction for the general ward setting SC Yu, A Gupta, KD Betthauser, PG Lyons, AM Lai, MH Kollef, ... Frontiers in digital health 4, 848599, 2022 | 3 | 2022 |
Self-explaining neural network with plausible explanations S Kumar, SC Yu, A Michelson, PR Payne arXiv preprint arXiv:2110.04598, 2021 | 2 | 2021 |
A Machine Learning Approach to Sepsis Prediction in non-Intensive Care Unit Patients A Michelson, S Yu, A Gupta, AM Lai, MH Kollef, PRO Payne D104. CRITICAL CARE: A FINE BALANCE-SEPSIS DEFINITIONS, OUTCOMES AND …, 2019 | 1 | 2019 |
High-Content Image Analysis S Yu, P Joshi, DW Lee, MY Lee Microarray Bioprinting Technology: Fundamentals and Practices, 143-160, 2016 | 1 | 2016 |
HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression S Kumar, S Yu, A Michelson, T Kannampallil, P Payne CoRR, 2024 | | 2024 |
Multimodal hierarchical multi-task deep learning framework for jointly predicting and explaining Alzheimer disease progression S Kumar, S Yu, T Kannampallil, A Michelson, A Sotiras, P Payne arXiv preprint arXiv:2404.03208, 2024 | | 2024 |
Development of the Assessment of Clinical Prediction Model Transportability (APT) Checklist SC Yu Washington University in St. Louis, McKelvey School of Engineering …, 2022 | | 2022 |
Please let us know how this document benefits you. MR Hofford, CY Sean, AEW Johnson, AM Lai, PRO Payne | | |