October 01, 2026 article Open access Development of a machine learning-based multicenter study for predicting severe intraventricular hemorrhage in preterm infants using perinatal variables Frontiers in Neurology DOI: 10.3389/fneur.2026.1953566 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 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 Calculating the sample size required for developing a clinical prediction model 2020 BMJ article Mathematics Statistical Methods in Epidemiology Open access 2,902 citations Preterm Hemorrhagic Brain Injury 2025 Clinics in Perinatology article Medicine Neonatal and fetal brain pathology Open access 9 citations Long-term neurodevelopmental outcomes and follow-up of germinal matrix-intraventricular hemorrhage in preterm infants 2026 Seminars in Fetal and Neonatal Medicine article Medicine Neonatal and fetal brain pathology Open access 5 citations 4 results