Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
#158
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
arXiv 2603.05212
ArticleBuildHealthcare-specificFree (addendum)
Builds a multi-adverse-event dataset (MuAE) from VitalDB and trains a transformer early-warning model. A worked example of the VitalDB-to-model pipeline.
⚠ Check currency — the resource list flags this entry (see the fields marked ⚠).
- Type
- article (preprint)
- Year
- 2026
- Duration/length
- paper
- Level
- Adv
- Currency
- Current; preprint, not peer-reviewed ⚠
More details
- Coding
- Y
- HC-specific
- HC
- Track/node
- Specialty / perioperative prediction
- Depth
- Build
Resource-list status: V
Listed under: Anaesthesia / perioperative / critical care — free addendum, verified 26 Sep 2026
Link checked: 2026-09-27 · Details researched: 2026-09-26Report a problem