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A phenotyping algorithm for classification of single ventricle physiology using electronic health records
0
Zitationen
11
Autoren
2025
Jahr
Abstract
Our automated phenotype algorithm, combined with physician adjudication, outperforms a published method for SVP classification. It effectively identifies false positives by cross-referencing clinical notes and detects missed SVP cases that were due to absent or erroneous ICD codes. Our integrated phenotyping algorithm showed excellent performance and has the potential to improve research and clinical care of SVP patients through the automated development of an electronic cohort for prognostication, monitoring, and management.
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