structured query language for the fairview ehr (Fairview Diagnostic Laboratories)
90
Structured Review
Fairview Diagnostic Laboratories
structured query language for the fairview ehr
Structured Query Language For The Fairview Ehr, supplied by Fairview Diagnostic Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/structured+query+language+for+the+fairview+ehr/ehr/pmc11688684-59-28-28
Average 90 stars, based on 1 article reviews
Structured Query Language For The Fairview Ehr, supplied by Fairview Diagnostic Laboratories, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/structured+query+language+for+the+fairview+ehr/ehr/pmc11688684-59-28-28
Average 90 stars, based on 1 article reviews
structured query language for the fairview ehr - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Development and Validation of an Electronic Health Record–Based Risk Assessment Tool for Hypoglycemia in Patients With Type 2 Diabetes Mellitus Article Snippet: After completing the EHR element mapping, we implemented an automated risk assessment tool based on EHR data elements for assessing hypoglycemia risks using Structured Query Language for the Article Title: Development and Validation of an Electronic Health Record-Based Risk Assessment Tool for Hypoglycemia in Patients With Type 2 Diabetes Mellitus. Article Snippet: Background: The recent availability of high-quality data from clinical trials, together with machine learning (ML) techniques, presents exciting opportunities for developing prediction models for clinical outcomes.. Methods: As a proof-of-concept, we translated a hypoglycemia risk model derived from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study into the HypoHazardScore, a risk assessment tool applicable to electronic health record (EHR) data.. To assess its performance, we conducted a 16-week clinical study at the University of Minnesota where participants (N = 40) with type 2 diabetes mellitus (T2DM) had hypoglycemia assessed prospectively by continuous glucose monitoring (CGM). |