most citedCHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2023★ 1 cited

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models

Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent +1

We propose CHiLL (Crafting High-Level Latents), an approach for natural-language specification of features for linear models. CHiLL prompts LLMs with expert-crafted queries to gene…

cs.LG2022

That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data

Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent +1

Pretraining multimodal models on Electronic Health Records (EHRs) provides a means of learning representations that can transfer to downstream tasks with minimal supervision. Recen…