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Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation - ScienceDirect

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DBMI Trainees, Faculty Highlight Path, Benefits To Global Research During 2022 OHDSI Symposium - Columbia DBMI

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HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model - ScienceDirect

Sensitivity, specificity, and accuracy of a liquid biopsy approach utilizing molecular amplification pools