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pith:6G62VCYO

pith:2026:6G62VCYOGRHLEUIOD6TT6TWWIC
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OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction

Hyang-Jung Lee, Irene Y. Chen, Junhyung Jo, Sang Kyu Kim, Zhongyuan Liang

A two-stage training method that uses diagnosis hierarchies for contrastive learning and distills from notes improves vital-signs-only ICU risk prediction and label efficiency.

arxiv:2604.16878 v2 · 2026-04-18 · cs.LG

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Claims

C1strongest claim

Across multiple ICU prediction tasks on MIMIC, OC-Distill demonstrates improved label efficiency and achieves state-of-the-art performance among methods that use only vital signs at inference.

C2weakest assumption

That the ICD diagnosis hierarchy supplies a clinically meaningful similarity metric that improves downstream risk prediction and that knowledge distilled from notes transfers usefully to a vital-signs-only encoder without introducing harmful biases.

C3one line summary

OC-Distill combines ontology-aware contrastive pretraining with cross-modal distillation to improve ICU risk prediction performance and label efficiency while using only vital signs at inference.

Receipt and verification
First computed 2026-07-07T02:17:24.833354Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f1bdaa8b0e344eb2510e1fa73f4ed640a2a1a3030b63c2c8355e4ae29eeb5715

Aliases

arxiv: 2604.16878 · arxiv_version: 2604.16878v2 · doi: 10.48550/arxiv.2604.16878 · pith_short_12: 6G62VCYOGRHL · pith_short_16: 6G62VCYOGRHLEUIO · pith_short_8: 6G62VCYO
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6G62VCYOGRHLEUIOD6TT6TWWIC \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f1bdaa8b0e344eb2510e1fa73f4ed640a2a1a3030b63c2c8355e4ae29eeb5715
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-04-18T07:01:28Z",
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