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Amie J Barda
Amie J Barda
Doctoral Fellow, University of Pittsburgh
Dirección de correo verificada de pitt.edu - Página principal
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A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare
AJ Barda, CM Horvat, H Hochheiser
BMC medical informatics and decision making 20, 1-16, 2020
802020
Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records
JD Posada, AJ Barda, L Shi, D Xue, V Ruiz, PH Kuan, ND Ryan, FR Tsui
Journal of biomedical informatics 75, S94-S104, 2017
122017
Utilizing big data from electronic health records in pediatric clinical care
CG Macias, KE Remy, AJ Barda
Pediatric Research 93 (2), 382-389, 2023
72023
Social factors predictive of intensive care utilization in technology-dependent children, a retrospective multicenter cohort study
KN Slain, A Barda, PJ Pronovost, JD Thornton
Frontiers in Pediatrics 9, 721353, 2021
62021
An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance
AJ Barda, VM Ruiz, T Gigliotti, F Tsui
JAMIA Open 2 (1), 197-204, 2019
52019
How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?
R Uppal, G Mandava, KM Romagnoli, AJ King, AJ Draper, AL Handen, ...
Journal of Pathology Informatics 7 (1), 2, 2016
52016
Design and Evaluation of User-Centered Explanations for Machine Learning Model Predictions in Healthcare
AJ Barda
University of Pittsburgh, 2020
22020
Using Laboratory Data for Prediction of 30-Day Hospital Readmission of Pediatric Seizure Patients.
AJ Draper, Y Ye, VMR Herrera, R Tsui
AMIA, 2014
22014
Federated data health networks hold potential for accelerating emergency research
P Mahajan, C Macias, A Barda, CM Fung
Journal of the American College of Emergency Physicians Open 4 (3), e12968, 2023
12023
System, Method, and Computer Program Product for Detecting and Responding to Patient Neuromorbidity
R Clark, CM Horvat, AKW Au, A Barda
US Patent App. 17/760,558, 2022
12022
Usability and Acceptability of a System to Identify Pediatric Patients at Risk of 30-day Hospital Readmission Prior to Discharge.
A Barda, L Shi, AH Urbach, S Suresh, R Tsui
AMIA, 2017
2017
Preliminary Evaluation of a Multi-Component Intervention Prior to Discharge to Reduce Pediatric 30-Day Readmissions.
AJ Draper, AH Urbach, R Day, F Palmer, S Suresh, R Tsui
AMIA, 2016
2016
Correlation of Bone Quality to Biomechanical Response: Large-Scale Study Methodology
AJ Draper
The Ohio State University, 2013
2013
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Artículos 1–13