Pith Number

pith:6RA7CANS

pith:2026:6RA7CANSITSE6ZYUZLVKRMJP3L

not attested not anchored not stored refs resolved

Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data

Chuanchuan Sun, Feng Yu, Qin Fan, Qingchao Chen, Zhen Yu

Gradient boosting on routine longitudinal lab tests predicts pregnancy-associated thrombotic microangiopathy risk with AUROC 0.872.

arxiv:2605.13786 v1 · 2026-05-13 · cs.LG

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Claims

C1strongest claim

Gradient boosting was selected by cross-validation; the model achieved an AUROC of 0.872 (95% CI: 0.769-0.952) and AUPRC of 0.883 (95% CI: 0.780-0.959) in the held-out test cohort, with sensitivity 0.750 and specificity 0.812.

C2weakest assumption

That the single-center retrospective cohort of 300 pregnancies is representative of future patients and that the held-out test performance will generalize without external validation or prospective testing.

C3one line summary

Gradient boosting on 146 longitudinal lab predictors from routine prenatal care achieves AUROC 0.872 on held-out test data for antepartum P-TMA risk prediction.

References

3 extracted · 3 resolved · 0 Pith anchors

[1] Thrombotic microangiopathy in pregnancy: Current understanding and management strategies[J] 2024

[2] Machine learning models for predicting preeclampsia: A systematic review[J] 2024

[3] Cystatin C versus creatinine in determining risk based on kidney function[J] 2013

Receipt and verification

First computed	2026-05-18T02:44:15.685656Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f441f101b244e44f6714caeaa8b12fdac1e93412f61a3513cf677a403c160cca

Aliases

arxiv: 2605.13786 · arxiv_version: 2605.13786v1 · doi: 10.48550/arxiv.2605.13786 · pith_short_12: 6RA7CANSITSE · pith_short_16: 6RA7CANSITSE6ZYU · pith_short_8: 6RA7CANS

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6RA7CANSITSE6ZYUZLVKRMJP3L \
  | 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: f441f101b244e44f6714caeaa8b12fdac1e93412f61a3513cf677a403c160cca

Canonical record JSON

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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T17:07:00Z",
    "title_canon_sha256": "4264d0f3d44c7c3587fcbadcf6184e981f1490439f290b1f0ddccb8667e8c642"
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  "source": {
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    "kind": "arxiv",
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}