Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
MDL4Microbiome
MDL4Microbiome is the method recorded for microbiome disease-state classification. This page preserves the configuration reported by Multimodal deep learning applied to classify healthy and disease states of human microbiome.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | CRC microbiome cohortMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples
Multimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| MDL4Microbiome: microbiome disease-state classification Model: MDL4Microbiome · Benchmark: microbiome disease-state classification · Dataset: CRC microbiome cohort Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.97 accuracy Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.Multimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-e6ba198c2ac996Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Multimodal deep learning applied to classify healthy and disease states of human microbiome · Original source · PMC archival version PMC8763943.1
Technical metadata and extraction receipts
Stable ID: reported-model-e6ba198c2ac996
- areas
- microbes-communities
- entity level
- method
- version
- Not reported
- reported name
- MDL4Microbiome
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract