Article

Temporal Learning with Dynamic Range (TLDR) for Modeling Recurrent Exposure and Treatment Outcomes

2025-03-20

Abstract excerpt

<h4>Background</h4> The temporal sequence of clinical events is crucial in outcomes research, yet standard machine learning (ML) approaches often overlook this aspect in electronic health records (EHRs), limiting predictive accuracy. <h4>Methods</h4> We introduce Temporal Learning with Dynamic Range (TLDR), a time-sensitive ML framework, to identify risk factors for post-acute sequelae of SARS-CoV-2 infection (P...

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Literature Corpus work: 63fbe308-08c7-59b9-98e6-08258696bcdf
DOI: 10.1101/2025.03.19.25324272

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