相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Efficient permutation testing of variable importance measures by the example of random forests
Alexander Hapfelmeier et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2023)
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression (vol 208, 106180, 2021)
Edward De Brouwer et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2022)
Predictive Distribution Modeling Using Transformation Forests
Torsten Hothorn et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2021)
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee et al.
NATURE METHODS (2021)
Machine Learning Use for Prognostic Purposes in Multiple Sclerosis
Ruggiero Seccia et al.
LIFE-BASEL (2021)
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival
Natalia Korepanova et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2020)
A 30-Year Clinical and Magnetic Resonance Imaging Observational Study of Multiple Sclerosis and Clinically Isolated Syndromes
Karen K. Chung et al.
ANNALS OF NEUROLOGY (2020)
The long-term outcomes of CIS patients in the Barcelona inception cohort: Looking back to recognize aggressive MS
Mar Tintore et al.
MULTIPLE SCLEROSIS JOURNAL (2020)
Predicting disability progression in multiple sclerosis: Insights from advanced statistical modeling
Fabio Pellegrini et al.
MULTIPLE SCLEROSIS JOURNAL (2020)
Framework for personalized prediction of treatment response in relapsing remitting multiple sclerosis
E. Stuehler et al.
BMC MEDICAL RESEARCH METHODOLOGY (2020)
Systematic review of prediction models in relapsing remitting multiple sclerosis
Fraser S. Brown et al.
PLOS ONE (2020)
Cumulative/dynamic ROC curve estimation under interval censorship
Susana Diaz-Coto et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2020)
Predictive medicine in multiple sclerosis: A systematic review
Julie Havas et al.
MULTIPLE SCLEROSIS AND RELATED DISORDERS (2020)
Ofatumumab versus Teriflunomide in Multiple Sclerosis
Stephen L. Hauser et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition
Clare Walton et al.
MULTIPLE SCLEROSIS JOURNAL (2020)
Most Likely Transformations: The mlt Package
Torsten Hothorn
JOURNAL OF STATISTICAL SOFTWARE (2020)
Accuracy of Unenhanced MRI in the Detection of New Brain Lesions in Multiple Sclerosis
Paul Eichinger et al.
RADIOLOGY (2019)
Most Likely Transformations
Torsten Hothorn et al.
SCANDINAVIAN JOURNAL OF STATISTICS (2018)
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods
Min Lu et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2018)
Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): a double-blind, randomised, phase 3 study
Ludwig Kappos et al.
LANCET (2018)
Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria
Alan J. Thompson et al.
LANCET NEUROLOGY (2018)
A Systematic Assessment of Prevalence, Incidence and Regional Distribution of Multiple Sclerosis in Bavaria From 2006 to 2015
Tanja Daltrozzo et al.
FRONTIERS IN NEUROLOGY (2018)
Treatment decisions in multiple sclerosis - insights from real-world observational studies
Maria Trojano et al.
NATURE REVIEWS NEUROLOGY (2017)
Outcome Measures in Clinical Trials for Multiple Sclerosis
Caspar E. P. van Munster et al.
CNS DRUGS (2017)
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement
G. S. Collins et al.
BRITISH JOURNAL OF SURGERY (2015)
EVIDENCE-BASED GUIDELINES MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-establishing disease prognosis and monitoring patients
Mike P. Wattjes et al.
NATURE REVIEWS NEUROLOGY (2015)
Clinical, MRI, and CSF Markers of Disability Progression in Multiple Sclerosis
Alberto Gajofatto et al.
DISEASE MARKERS (2013)
MissForest-non-parametric missing value imputation for mixed-type data
Daniel J. Stekhoven et al.
BIOINFORMATICS (2012)
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
Paul Schmidt et al.
NEUROIMAGE (2012)
The changing demographic pattern of multiple sclerosis epidemiology
Nils Koch-Henriksen et al.
LANCET NEUROLOGY (2010)
An Introduction to Recursive Partitioning: Rationale, Application, and Characteristics of Classification and Regression Trees, Bagging, and Random Forests
Carolin Strobl et al.
PSYCHOLOGICAL METHODS (2009)
Disability and T2 MRI lesions:: a 20-year follow-up of patients with relapse onset of multiple sclerosis
L. K. Fisniku et al.
BRAIN (2008)
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich et al.
NEUROIMAGE (2006)
Natalizumab plus interferon beta-1a for relapsing multiple sclerosis
RA Rudick et al.
NEW ENGLAND JOURNAL OF MEDICINE (2006)
Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process
C Confavreux et al.
BRAIN (2003)