# Prognosis prediction on Multi-center clinical dataset Source: [Prognosis prediction on Multi-center clinical dataset]() Collection index: [llms.txt]() Data updated: 2026-05-15T09:01:53.978Z Evaluation of models for Prognosis prediction using the Multi-center clinical dataset. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Prognosis prediction | | Dataset (including any stated split) | Multi-center clinical dataset | | Metric | AUC | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [AUC](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Specificity](): Higher is better; unit: PERCENT. ## Recorded results | Method | AUC | Result date | Report paper | | --- | --- | --- | --- | | VDAFM | 81.06 | Not recorded | 6a06a887dbc836b87d82a020 | | Sparsemm | 79.94 | Not recorded | 6a06a887dbc836b87d82a020 | | Attention | 79.86 | Not recorded | 6a06a887dbc836b87d82a020 | | Fusion | 79.39 | Not recorded | 6a06a887dbc836b87d82a020 | | Earthmind | 79.34 | Not recorded | 6a06a887dbc836b87d82a020 | | Concat | 78.46 | Not recorded | 6a06a887dbc836b87d82a020 | | Imagenet | 73.08 | Not recorded | 6a06a887dbc836b87d82a020 | | TableNet | 72.03 | Not recorded | 6a06a887dbc836b87d82a020 | | Random Forest (RF) | 71.46 | Not recorded | 6a06a887dbc836b87d82a020 | | MLP | 71.08 | Not recorded | 6a06a887dbc836b87d82a020 | | XGBoost | 71.07 | Not recorded | 6a06a887dbc836b87d82a020 | | SVM | 70.28 | Not recorded | 6a06a887dbc836b87d82a020 | ### VDAFM AUC: 81.06. Result ID: 6a06e0f347f34ce924eeb209. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Proposed Method"}. This record does not assert independent reproduction. ### Sparsemm AUC: 79.94. Result ID: 6a06e0f347f34ce924eeb208. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Multi-modal Strategies"}. This record does not assert independent reproduction. ### Attention AUC: 79.86. Result ID: 6a06e0f347f34ce924eeb205. [Reporting paper]() Recorded evaluation configuration: {"Category":"Multi-modal Strategies"}. This record does not assert independent reproduction. ### Fusion AUC: 79.39. Result ID: 6a06e0f347f34ce924eeb207. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Multi-modal Strategies"}. This record does not assert independent reproduction. ### Earthmind AUC: 79.34. Result ID: 6a06e0f347f34ce924eeb206. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Multi-modal Strategies"}. This record does not assert independent reproduction. ### Concat AUC: 78.46. Result ID: 6a06e0f347f34ce924eeb204. [Reporting paper]() Recorded evaluation configuration: {"Category":"Multi-modal Strategies"}. This record does not assert independent reproduction. ### Imagenet AUC: 73.08. Result ID: 6a06e0f347f34ce924eeb203. [Reporting paper]() Recorded evaluation configuration: {"Category":"Deep Learning Methods"}. This record does not assert independent reproduction. ### TableNet AUC: 72.03. Result ID: 6a06e0f347f34ce924eeb202. [Reporting paper]() Recorded evaluation configuration: {"Category":"Deep Learning Methods"}. This record does not assert independent reproduction. ### Random Forest (RF) AUC: 71.46. Result ID: 6a06e0f347f34ce924eeb1ff. [Reporting paper]() Recorded evaluation configuration: {"Category":"Traditional Methods"}. This record does not assert independent reproduction. ### MLP AUC: 71.08. Result ID: 6a06e0f347f34ce924eeb201. [Reporting paper]() Recorded evaluation configuration: {"Category":"Deep Learning Methods"}. This record does not assert independent reproduction. ### XGBoost AUC: 71.07. Result ID: 6a06e0f347f34ce924eeb1fe. [Reporting paper]() Recorded evaluation configuration: {"Category":"Traditional Methods"}. This record does not assert independent reproduction. ### SVM AUC: 70.28. Result ID: 6a06e0f347f34ce924eeb200. [Reporting paper]() Recorded evaluation configuration: {"Category":"Traditional Methods"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.