Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer
Bibliographic Data
| ID | 15375800 |
|---|---|
| Authors | Mengjie Wu (0000-0002-3997-8861, Zhengzhou University, corresponding author), Xiaofan Yang (0000-0001-7030-7516, Zhengzhou University), Yuxi Liu (0000-0003-2484-151X, Zhengzhou University), Feng Han (0000-0003-2933-6205, Zhengzhou University), Xi Li (0000-0003-3519-4805, Zhengzhou University), Jufeng Wang (0000-0002-5933-2152, Zhengzhou University), Dandan Guo (0000-0002-6681-0343, Third Affiliated Hospital of Zhengzhou University), Xiance Tang (Zhengzhou University), Lin Lü (0000-0003-0742-9072, Zhengzhou People's Hospital), Lu Lin (0000-0003-3313-354X), Changpeng Liu (0000-0002-5262-1808, Zhengzhou University) |
| Year | 2024 |
| Volume | 24 |
| Issue | 1 |
| Pages | 723-723 |
| Publication date | 2024-03-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-024-18221-6 |
| PMID | 38448849 |
| OpenAlex | W4392517299 |
| Language | EN |
| References cited | 31 |
DL-based model was established to accurately predict the survival rate of postoperative patients with GC
Biostatistics · Calibration · Cancer · Machine learning · Receiver operating characteristic · Stage (stratigraphy · Statistics · Survival analysis · Colorectal Cancer Screening and Detection · Computer Science · Gastric Cancer Management and Outcomes · Mathematics · Medicine · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence · Epidemiology · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |