Data · dataset · 2025
Traditional herbal medicine as an adjuvant therapy for prevent recurrence of hepatocellular carcinoma recurrence after radical resection: development and validation of a machine learning prediction model
Listed in Teesside University Research Data Repository
A total of 403 patients with HCC who were admitted to the Department of Oncology of Traditional Chinese Medicine at Shanghai Changhai Hospital between January 1, 2002, and June 30, 2023, were included in this study.Baseline clinicopathological data were obtained from medical records and follow-up.
Description
Demographic characteristics included age and gender. Clinicopathological data encompassed the following elements: (1) etiology: hepatitis infection status and hepatitis infection duration; (2) tumor details: Edmondson-Steiner grade, pathological features, location, counts, size and Barcelona Clinic Liver Cancer (BCLC) stage; (3) liver function indicators: Child‒Pugh class and cirrhosis; (4) laboratory parameters: preresection and postresection (within two weeks) alpha-fetoprotein (AFP) levels, albumin (ALB), total bilirubin (STB), neutrophils (N), hemoglobin (HGB), and platelets (PLT); (5) treatment related factors: accepting THM intervention or not; (6) other data: platelet- albumin-bilirubin index (PALBI).
Links
Where it is published
- DOI doi.org/10.17632/pssdg4kg3w.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Medicine & Health · Social Science
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/pssdg4kg3w.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |