{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Yan L"],"pubmed_abstract":["<h4>Background</h4>Accurate prediction of prognosis is critical for therapeutic decisions in chondrosarcoma patients. Several prognostic models have been created utilizing multivariate Cox regression or binary classification-based machine learning approaches to predict the 3- and 5-year survival of patients with chondrosarcoma, but few studies have investigated the results of combining deep learning with time-to-event prediction. Compared with simplifying the prediction as a binary classification problem, modeling the probability of an event as a function of time by combining it with deep learning can provide better accuracy and flexibility.<h4>Materials and methods</h4>Patients with the diagnosis of chondrosarcoma between 2000 and 2018 were extracted from the Surveillance, Epidemiology, a"],"journal":["Frontiers in oncology"],"pagination":["967758"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9442032"],"repository":["biostudies-literature"],"pubmed_title":["Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis."],"pmcid":["PMC9442032"],"pubmed_authors":["Yan L","Ai F","Gao N","Chen J","Weng Y","Kang Y","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.","description":"<h4>Background</h4>Accurate prediction of prognosis is critical for therapeutic decisions in chondrosarcoma patients. Several prognostic models have been created utilizing multivariate Cox regression or binary classification-based machine learning approaches to predict the 3- and 5-year survival of patients with chondrosarcoma, but few studies have investigated the results of combining deep learning with time-to-event prediction. Compared with simplifying the prediction as a binary classification problem, modeling the probability of an event as a function of time by combining it with deep learning can provide better accuracy and flexibility.<h4>Materials and methods</h4>Patients with the diagnosis of chondrosarcoma between 2000 and 2018 were extracted from the Surveillance, Epidemiology, a","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-04T12:25:22.695Z","creation":"2025-02-18T23:48:50.029Z"},"accession":"S-EPMC9442032","cross_references":{"pubmed":["36072795"],"doi":["10.3389/fonc.2022.967758"]}}