Article

Longitudinal Masked Representation Learning for Pulmonary Nodule Diagnosis from Language Embedded EHRs

2025-05-11

Abstract excerpt

Electronic health records (EHRs) are a rich source of clinical data, yet exploiting longitudinal signals for pulmonary nodule diagnosis remains challenging due to the administrative noise and high level of clinical abstraction present in these records. Because of this complexity, classification models are prone to overfitting when labeled data is scarce. This study explores masked representation learning (MRL) as...

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Literature Corpus work: bac2646a-f43f-534b-8e1d-364dd030a5a1
DOI: 10.1101/2025.05.09.25327341

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