Joshua Lemmon
Overview
Explore the profile of Joshua Lemmon including associated specialties, affiliations and a list of published articles.
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5
Citations
20
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0
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Recent Articles
1.
Guo L, Morse K, Aftandilian C, Steinberg E, Fries J, Posada J, et al.
BMC Med Inform Decis Mak
. 2024 Feb;
24(1):51.
PMID: 38355486
Background: Diagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates...
2.
Guo L, Calligan M, Vettese E, Cook S, Gagnidze G, Han O, et al.
Heliyon
. 2023 Nov;
9(11):e21586.
PMID: 38027579
Objectives: To describe the processes developed by The Hospital for Sick Children (SickKids) to enable utilization of electronic health record (EHR) data by creating sequentially transformed schemas for use across...
3.
Lemmon J, Guo L, Steinberg E, Morse K, Fleming S, Aftandilian C, et al.
J Am Med Inform Assoc
. 2023 Aug;
30(12):2004-2011.
PMID: 37639620
Objective: Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to...
4.
Guo L, Steinberg E, Fleming S, Posada J, Lemmon J, Pfohl S, et al.
Sci Rep
. 2023 Mar;
13(1):3767.
PMID: 36882576
Temporal distribution shift negatively impacts the performance of clinical prediction models over time. Pretraining foundation models using self-supervised learning on electronic health records (EHR) may be effective in acquiring informative...
5.
Lemmon J, Guo L, Posada J, Pfohl S, Fries J, Fleming S, et al.
Methods Inf Med
. 2023 Feb;
62(1-02):60-70.
PMID: 36812932
Background: Temporal dataset shift can cause degradation in model performance as discrepancies between training and deployment data grow over time. The primary objective was to determine whether parsimonious models produced...