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References from Construction of an interpretable prediction model for poor functional outcome in conservatively managed basal ganglia hemorrhage based on CT radiomics and multiple machine learning algorithms. Local targets link to admitted publications; unresolved targets remain external evidence.
Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis
10.1016/s1474-4422(09)70340-0 · 2010 · External reference
Defining hematoma expansion in intracerebral hemorrhage: relationship with patient outcomes
10.1212/wnl.0b013e3182156335 · 2011 · External reference
Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage
10.1212/01.wnl.0000208408.98482.99 · 2006 · External reference
Enlargement of spontaneous intracerebral hemorrhage. Incidence and time course
10.1161/01.str.27.10.1783 · 1996 · External reference
The ICH score: a simple, reliable grading scale for intracerebral hemorrhage
10.1161/01.str.32.4.891 · 2001 · External reference
Baseline blood pressure and early hematoma expansion in intracerebral hemorrhage
10.1161/strokeaha.111.625039 · 2012 · External reference
Radiomics: extracting more information from medical images using advanced feature analysis
10.1016/j.ejca.2011.11.036 · 2012 · External reference
Machine learning-based radiomics in neurodegenerative and cerebrovascular disease
10.1002/mco2.778 · 2024 · External reference
Stacked generalization: an introduction to super learning
10.1007/s10654-018-0390-z · 2018 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
A unified approach to interpreting model predictions
2017 · External reference
CT-based radiomics models predict spontaneous intracerebral hemorrhage expansion and are comparable with CT angiography spot sign
10.3389/fneur.2024.1387593 · 2024 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Clinical features, non-contrast CT Radiomic and radiological signs in models for the prediction of hematoma expansion in intracerebral hemorrhage
10.1177/08465371231168383 · 2023 · External reference
Intratumoral heterogeneity depicted by wavelet radiomics correlates with microscopic pathological variation
10.1111/1754-093x.13015 · 2020 · External reference
Comparative performance of nine machine learning classifiers for intracerebral hemorrhage outcome prediction via radiomics
10.1016/j.compbiomed.2022.105438 · 2022 · External reference
Clinical translation barrier of radiomics machine learning: interpretability gap and solutions
10.1007/s10916-022-02354-9 · 2022 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0029-x · 2020 · External reference
Individualized patient-level explanation of clinical prediction models with SHAP values
10.1186/s12911-021-01686-9 · 2021 · External reference
Causal inference in statistics: an overview
10.1214/09-ss057 · 2009 · External reference
SuperLearner prediction in small sample clinical datasets
10.1002/bimj.200900263 · 2010 · External reference
Does ensemble learning always improve radiomics prediction performance for cerebrovascular disease? A meta-analysis
10.1088/1361-6560/acd167 · 2023 · External reference
Recombinant activated factor VII for acute intracerebral hemorrhage
10.1056/nejmoa042091 · 2005 · External reference
Intensive blood-pressure lowering in acute intracerebral hemorrhage
10.1056/nejmoa0908822 · 2010 · External reference
Intracerebral haemorrhage: mechanisms of injury and therapeutic targets
10.1038/nrneurol.2012.128 · 2012 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
10.1136/bmj.g7594 · 2015 · External reference
CT angiography spot sign predicts hematoma expansion in acute intracerebral hemorrhage
10.1161/01.str.0000259633.59404.f3 · 2007 · External reference
Effect of prior antithrombotic use on intracerebral hemorrhage volume and expansion
10.1212/01.wnl.0000278959.69879.38 · 2007 · External reference
Multicenter prospective radiomics trial design for cerebrovascular predictive model
10.1002/jmri.27982 · 2022 · External reference
Deep learning for brain MRI segmentation: state of the art and future challenges
10.1007/s10278-017-9983-z · 2017 · External reference
Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline from the American Heart Association/American Stroke Association
10.1161/str.0000000000003896 · 2022 · External reference
