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Lin Lawrence Guo

Showing results (11-20 of 22) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|April 8, 2026
Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluationsLin Lawrence Guo, Santiago E Arciniegas, Adam P Yan, et al.
Applied Clinical Informatics|September 1, 2021
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical MedicineLin Lawrence Guo, Stephen R Pfohl, Jason Fries, et al.
NPJ Digital Medicine|June 27, 2024
A multi-center study on the adaptability of a shared foundation model for electronic health recordsLin Lawrence Guo, Jason Fries, Ethan Steinberg, et al.
Scientific Reports|February 18, 2022
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicineLin Lawrence Guo, Stephen R Pfohl, Jason Fries, et al.
Methods of Information in Medicine|February 22, 2023
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical MedicineJoshua Lemmon, Lin Lawrence Guo, Jose Posada, et al.
Scientific Reports|March 7, 2023
EHR foundation models improve robustness in the presence of temporal distribution shiftLin Lawrence Guo, Ethan Steinberg, Scott Lanyon Fleming, et al.
JMIR Medical Informatics|November 17, 2022
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods StudyNatasha Alexander, Catherine Aftandilian, Lin Lawrence Guo, et al.
BMC Medical Informatics and Decision Making|February 14, 2024
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcareLin Lawrence Guo, Keith E Morse, Catherine Aftandilian, et al.
Journal of the American Medical Informatics Association : JAMIA|August 28, 2023
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasksJoshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, et al.
Heliyon|November 29, 2023
Development and validation of the SickKids Enterprise-wide Data in Azure Repository (SEDAR)Lin Lawrence Guo, Maryann Calligan, Emily Vettese, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Journal of the American Medical Informatics Association : JAMIA|April 8, 2026
Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluationsLin Lawrence Guo, Santiago E Arciniegas, Adam P Yan, et al.
Applied Clinical Informatics|September 1, 2021
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical MedicineLin Lawrence Guo, Stephen R Pfohl, Jason Fries, et al.
NPJ Digital Medicine|June 27, 2024
A multi-center study on the adaptability of a shared foundation model for electronic health recordsLin Lawrence Guo, Jason Fries, Ethan Steinberg, et al.
Scientific Reports|February 18, 2022
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicineLin Lawrence Guo, Stephen R Pfohl, Jason Fries, et al.
Methods of Information in Medicine|February 22, 2023
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical MedicineJoshua Lemmon, Lin Lawrence Guo, Jose Posada, et al.
Scientific Reports|March 7, 2023
EHR foundation models improve robustness in the presence of temporal distribution shiftLin Lawrence Guo, Ethan Steinberg, Scott Lanyon Fleming, et al.
JMIR Medical Informatics|November 17, 2022
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods StudyNatasha Alexander, Catherine Aftandilian, Lin Lawrence Guo, et al.
BMC Medical Informatics and Decision Making|February 14, 2024
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcareLin Lawrence Guo, Keith E Morse, Catherine Aftandilian, et al.
Journal of the American Medical Informatics Association : JAMIA|August 28, 2023
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasksJoshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, et al.
Heliyon|November 29, 2023
Development and validation of the SickKids Enterprise-wide Data in Azure Repository (SEDAR)Lin Lawrence Guo, Maryann Calligan, Emily Vettese, et al.
Pageof 3