Tal Lorberbaum

Comparative analysis of EHR-based stroke phenotyping methods, their applications, and interpretation

The paper compares machine learning algorithms for identifying acute ischemic stroke patients using EHR data, finding high accuracy with logistic regression and demonstrating generalizability.

Predicting the genetic ancestry of 2.6 million New York City patients using clinical data

This paper predicts genetic ancestry for 2.6 million NYC patients using only clinical data from EHRs, achieving over 80% accuracy for unknown or other ancestries.

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

The paper uses next-of-kin data from electronic health records to estimate heritability for 500 disease phenotypes, finding results consistent with existing literature.