November 29, 2016 article Open access A computationally fast variable importance test for random forests for high-dimensional data Advances in Data Analysis and Classification DOI: 10.1007/s11634-016-0276-4 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 203 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 Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data 2026 North American Spine Society Journal (NASSJ) article Medicine Intraoperative Neuromonitoring and Anesthetic Effects Open access 0 citations Predicting population-level vulnerability among pregnant women using routinely collected data and the added relevance of self-reported data 2024 European Journal of Public Health article Health Professions Maternal and Neonatal Healthcare Open access 2 citations Predicting Population-Level Vulnerability Among Pregnant Women Using Routinely Collected Data and the Added Relevance of Self-Reported Data 2023 SSRN Electronic Journal preprint Health Professions Maternal and Neonatal Healthcare Open access 0 citations 3 results References 0