SepsisSense: LLM-Aided Summarization of Clinical Notes for Early Sepsis Prediction Integrated With Structured Data

Sepsis is still one of the leading causes of preventable deaths globally due to difficult recognition of its early signs. Plethora of existing research work depends on structured data only missing the clinical information available in clinical notes. In this work, we present a multimodal approach th...

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Hlavní autoři:	Nazeef Ul Haq, Muhammad Usman Ghani Khan, Samyan Qayyum Wahla
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Sepsis prediction large language model clinical notes time series transformer structured data
On-line přístup:	https://ieeexplore.ieee.org/document/11424392/
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