Pith Number

pith:NCO5TPD4

pith:2026:NCO5TPD4ZVLEOJVC4PVRQ5RDNQ

not attested not anchored not stored refs pending

Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering

Manar D. Samad, Shrabani Ghosh, Yina Hou

An ensemble deep clustering method combined with traditional techniques achieves the highest performance in grouping heart failure patients from electronic health records.

arxiv:2604.07085 v2 · 2026-04-08 · cs.LG

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\usepackage{pith}
\pithnumber{NCO5TPD4ZVLEOJVC4PVRQ5RDNQ}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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

When combined with traditional clustering in a novel ensemble framework, the proposed ensemble embedding for deep clustering delivers the best overall performance ranking across 14 diverse clustering methods and multiple patient cohorts.

C2weakest assumption

That deep learning methods designed for image data inherently underperform on tabular EHR data and that aggregating assignments from multiple embedding dimensions reliably improves clustering quality without overfitting or selection bias.

C3one line summary

An ensemble deep clustering framework combined with traditional methods ranks highest across 14 clustering techniques on real EHR data for heart failure patients from the All of Us program.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-10T01:08:35.171114Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

689dd9bc7ccd564726a2e3eb1876236c21df601f2c51227a52669118aebbf324

Aliases

arxiv: 2604.07085 · arxiv_version: 2604.07085v2 · doi: 10.48550/arxiv.2604.07085 · pith_short_12: NCO5TPD4ZVLE · pith_short_16: NCO5TPD4ZVLEOJVC · pith_short_8: NCO5TPD4

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NCO5TPD4ZVLEOJVC4PVRQ5RDNQ \
  | 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: 689dd9bc7ccd564726a2e3eb1876236c21df601f2c51227a52669118aebbf324

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "df72c1ae45065f82f8fc4357c7f6e4497abe9b22421b72bfc77d992eac34b683",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-08T13:40:05Z",
    "title_canon_sha256": "b063613b30dbf1e2f622ceaa4f73b610ca7c31b6f7328d0e82b9c83ca41c7835"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.07085",
    "kind": "arxiv",
    "version": 2
  }
}