Data · dataset · 2026
Additional file 1 of A transfer learning-based hybrid deep- and machine-learning regression approach for predicting the postoperative pulmonary function
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34040306.v1
Additional file 1: Supplementary Table S1.
Description
Radiomics features selected to establish the R+E model for predicting FVC (n=10) and FEV1 (n=9). Supplementary Table S2.
Threshold-based classification performance of the D+E model in the external test set. Supplementary Figure S1. Model interpretation using SHAP visualizations for (a) FVC and (b) FEV1.
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The SHAP summary plots show the top 20 most important features, ranked by their impact on the model output. Each dot represents a single sample, with the color indicating the feature value (red: high; blue: low). The position along the x-axis reflects the magnitude and direction of the feature contribution.
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34040306.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Computer Science & AI · Deep learning · Deep learning · Deep learning · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health · Psychology & Behavioral Science · Psychology & Behavioral Science · Psychology & Behavioral Science
- Inferred from text
- Tabular 65%
Provenance · 3 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34040306 | 9 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34040306 | 9 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34040306 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:461103 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Deep learning'] |
| concepts[field].anzsrc:field:461103 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Deep learning'] |
| concepts[field].anzsrc:field:461103 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Deep learning'] |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |