October 28, 2025 review Open access Comparison of machine learning methods versus traditional Cox regression for survival prediction in cancer using real-world data: a systematic literature review and meta-analysis BMC Medical Research Methodology DOI: 10.1186/s12874-025-02694-z Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 24 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence 2021 BMJ Open article Decision Sciences Meta-analysis and systematic reviews Open access cited by 1 patent 844 citations Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques 2020 BMC Medical Research Methodology article Health Professions Artificial Intelligence in Healthcare Open access 80 citations Prediction models with survival data: a comparison between machine learning and the Cox proportional hazards model 2022 medRxiv preprint Mathematics Statistical Methods and Inference Open access 8 citations 3 results