According to Dean Rivera during one of the interview day info sessions, they do use an ML algorithm to screen applications that they claim to be modeled from 35 faculty screeners over 3 years and predicts interview selections with 93% accuracy. Don't remember if they have humans look over the choices later on. I wonder if the 93% comes from just picking the highest stats.
According to Dean Rivera during one of the interview day info sessions, they do use an ML algorithm to screen applications that they claim to be modeled from 35 faculty screeners over 3 years and predicts interview selections with 93% accuracy. Don't remember if they have humans look over the choices later on. I wonder if the 93% comes from just picking the highest stats.
The authors developed and validated an ML algorithm for predicting residency interview offers from numerous application elements with high performance-even when USMLE scores were removed. Model deployment in a DST highlighted its potential for screening candidates and helped quantify and...
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