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Faraz Faghri

2 accepted papers

2024

Instruction Tuning Large Language Models to Understand Electronic Health Records

NeurIPS 2024spotlight

Large language models (LLMs) have shown impressive capabilities in solving a wide range of tasks based on human instructions. However, developing a conversational AI assistant for electronic health record (EHR) data remains challenging due to (1) the lack of large-scale instruction-following dataset…

2024

Multimodal Patient Representation Learning with Missing Modalities and Labels

ICLR 2024poster

Multimodal patient representation learning aims to integrate information from multiple modalities and generate comprehensive patient representations for subsequent clinical predictive tasks. However, many existing approaches either presuppose the availability of all modalities and labels for each pa…

Cited by 18SourcePDFScholar