Original ResearchPredicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources
Under a Creative Commons license
open access
Graphical abstract
Keywords
Artificial intelligence
Clinical decision support system
Health information interoperability
Disease management
Chronic disease
Abbreviations
AUC-ROC
Area Under the Curve - Receiver Operating Characteristic
CCS
Clinical Classification Software
CD
Combining Data
CDS
Clinical Decision Support
DPP4
Dipeptidyl-Peptidase 4
eGFR
Estimated Glomerular Filtration Rate
EHR
Electronic Health Record
GLP1
Glucagon-like Peptide 1 Receptor Agonist
HbA1c
Hemoglobin A1c
IM
Independent Modeling
INPC
Indiana Network for Patient Care
INS
Long-Acting Insulin
LDL
Low-Density Lipoprotein
LR
Logistic Regression
MET
Metformin
NDC
National Drug Code
PDC
Proportion of Days Covered
SB
Selecting Better
SGLT2
Sodium-Glucose Cotransporter-2G Inhibitor
SUL
Sulfonylurea
TPGE
Treatment Pathway Graph Estimation
TZD
Thiazolidinedione
T2DM
Type 2 Diabetes Mellitus
UUH
University of Utah Health
WA
Weighted Average
Cited by (0)
- 1
Co-senior author.
© 2022 The Author(s). Published by Elsevier Inc.