Pith Number

pith:B5SICJI4

pith:2026:B5SICJI4D4GGNJLUDXZ63UTEEY

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Impact of Age Specialized Models for Hypoglycemia Classification

Beyza Cinar, Maria Maleshkova

A single population model performs as well as or better than age-specific models for classifying hypoglycemia from continuous glucose data.

arxiv:2604.23732 v1 · 2026-04-26 · cs.LG · cs.AI · cs.HC

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\pithnumber{B5SICJI4D4GGNJLUDXZ63UTEEY}

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

a global population-based model yields similar or superior performance compared to age-segmented models. These findings suggest that data from children, teenagers, and adults can be combined for training models on hypoglycemia classification. While glucose variation differs across age groups, short-term hypoglycemic patterns are similar. However, data of children obtain their best recall with age specialized model.

C2weakest assumption

The assumption that the DiaData dataset has sufficient and balanced representation across age groups and that the model training procedures are equivalent in complexity and optimization for fair comparison.

C3one line summary

A global model for hypoglycemia classification from CGM data performs similarly or better than age-segmented models across most groups, suggesting short-term patterns are similar despite age differences in glucose variability.

References

36 extracted · 36 resolved · 0 Pith anchors

[1] Risk factors for frequent and severe hypoglycemia in type 1 diabetes 2001

[2] The effect of age on the progression and severity of type 1 diabetes: Potential effects on disease mechanisms 2018

[3] Heterogeneity of type 1 diabetes at diagnosis supports existence of age-related endotypes 2022

[4] 2. Diagnosis and Classification of Diabetes:Standards of Care in Diabetes—2024 2024

[5] Type 1 Diabetes 2023

Receipt and verification

First computed	2026-06-23T01:13:05.262305Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0f6481251c1f0c66a5741df3edd2642602a9eba380f115dc4c0885bee79354e4

Aliases

arxiv: 2604.23732 · arxiv_version: 2604.23732v1 · doi: 10.48550/arxiv.2604.23732 · pith_short_12: B5SICJI4D4GG · pith_short_16: B5SICJI4D4GGNJLU · pith_short_8: B5SICJI4

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5SICJI4D4GGNJLUDXZ63UTEEY \
  | 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: 0f6481251c1f0c66a5741df3edd2642602a9eba380f115dc4c0885bee79354e4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "88e86839183552d496e401faded538976202178cd6fd8326691cae5a0814dbb2",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.HC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-26T14:20:10Z",
    "title_canon_sha256": "d359cf462d82c10f03fddd155b6e3c1cb46c8cfa29770b8dab2ad07365c9a1b0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.23732",
    "kind": "arxiv",
    "version": 1
  }
}