Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation
Abstract Background To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a large number of heterogeneous observat...
Main Authors: | Jenna M. Reps, Ross D. Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B. Ryan, Rae Woong Park, Hong-Seok Lim, Peter Rijnbeek |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-05-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-020-00991-3 |
Similar Items
-
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets
by: Jenna M. Reps, et al.
Published: (2021-08-01) -
Sensor-Based Degradation Prediction and Prognostics for Remaining Useful Life Estimation: Validation on Experimental Data of Electric Motors
by: Federico Barbieri, et al.
Published: (2015-12-01) -
Prognostic models for predicting incident or recurrent atrial fibrillation: protocol for a systematic review
by: Janine Dretzke, et al.
Published: (2019-08-01) -
Development and Validation of a Nomogram for Predicting Survival in Gallbladder Cancer Patients With Recurrence After Surgery
by: Mingyu Chen, et al.
Published: (2021-01-01) -
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design
by: Jenna M. Reps, et al.
Published: (2021-02-01)