February 02, 2026 review Open access Machine learning-based COVID-19 prognostic models lag behind in reporting quality: findings from a TRIPOD/TRIPOD + AI systematic review Diagnostic and Prognostic Research DOI: 10.1186/s41512-026-00218-x Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 2 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 TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods 2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents 3,889 citations Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal 2020 BMJ review Medicine COVID-19 Clinical Research Studies Open access cited by 14 patents 3,076 citations Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved 2021 Journal of Clinical Epidemiology article Decision Sciences Meta-analysis and systematic reviews Open access 110 citations 3 results