This paper-specific evaluation tests microbiome disease-state classification using CRC microbiome cohort.
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 |
|---|---|
| Record type | Paper-specific task; protocol incompletely extractedMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column |
| Inputs | CRC microbiome cohortMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column |
| Assessment | accuracyMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column |
| Recorded split or evaluation setting | UnextractedMultimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome column |
| Datasets | Not extracted or verified for this record. |
| Organisms | Not extracted or verified for this record. |
| Assays | Not extracted or verified for this record. |
| Adaptation | Not extracted or verified for this record. |
| Baselines | Not extracted or verified for this record. |
Outline of the existing paper extraction. Split membership, fitting details and scorer implementation remain incompletely reviewed.
The existing paper extraction describes: Multimodal deep learning model on colorectal-cancer versus healthy microbiome samples. This description is retained with the exact evaluation records; it is not a new protocol reconstruction.
Multimodal deep learning applied to classify healthy and disease states of human microbiome · Table 3, CRC row, MDL4Microbiome columnRelease 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. |
Catalogue extraction inspected; protocol claims remain limited to the cited evidence. Missing details are not presumed absent from the original paper.
Stable record: reported-task-e2009c35eabd69Release 2026-09-16-d74d282221a9 · Record review: needs review
Stable ID: reported-task-e2009c35eabd69