Pith Number

pith:M6ZINE3Y

pith:2026:M6ZINE3YLKO7THQC2HC73WNMUP

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Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

Brad Ye, Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang, Laura J. Brattain

TabPFN outperforms traditional machine learning models when predicting conversion from mild cognitive impairment to Alzheimer's disease in settings with limited training data.

arxiv:2604.27195 v2 · 2026-04-29 · cs.AI

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4 Citations open

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Claims

C1strongest claim

TabPFN achieved one the highest performance (AUC=0.892), outperforming LightGBM (AUC=0.860) and demonstrating advantages in low data settings. At N=50 training samples, TabPFN maintained strong AUC while the traditional machine learning models struggles at small training samples.

C2weakest assumption

That differences in reported AUC arise from model architecture rather than unstated hyperparameter tuning, feature preprocessing choices, or train-test leakage in the TADPOLE splits.

C3one line summary

TabPFN reaches AUC 0.892 for 3-year MCI-to-AD conversion on TADPOLE data and holds performance at N=50 training samples where XGBoost, Random Forest, LightGBM, and logistic regression degrade.

Cited by

2 papers in Pith

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

Receipt and verification

First computed	2026-05-21T02:05:03.656652Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

67b28693785a9df99e02d1c5fdd9aca3c19bf00f54bb6007133073e4c59571e9

Aliases

arxiv: 2604.27195 · arxiv_version: 2604.27195v2 · doi: 10.48550/arxiv.2604.27195 · pith_short_12: M6ZINE3YLKO7 · pith_short_16: M6ZINE3YLKO7THQC · pith_short_8: M6ZINE3Y

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/M6ZINE3YLKO7THQC2HC73WNMUP \
  | 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: 67b28693785a9df99e02d1c5fdd9aca3c19bf00f54bb6007133073e4c59571e9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "181d8918e731084c4a4530451d30c080401076aea62731bcfaa637a50f75b955",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-29T20:55:50Z",
    "title_canon_sha256": "a04d3c3e8f6dac38ef9d28cea9143d10bdeb66636f167bf4130fc31541a4e6df"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.27195",
    "kind": "arxiv",
    "version": 2
  }
}