Model Machine Learning-based Feature Ranking and Feature Selection
, 2015 This thesis introduces two novel machine learning methods of feature ranking and feature selection. The methods build on data mining and knowledge discovery techniques. The methods are based on arti cial neural network and evolutionary computation. The
Pilný, Aleš
core
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants
Annals of Clinical and Translational Neurology, EarlyView.Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold +12 more
wiley +1 more source
A flexible model-free prediction-based framework for feature ranking
, 2019 Despite the availability of numerous statistical and machine learning tools for joint feature modeling, many scientists investigate features marginally, i.e., one feature at a time.
Chen, Yiling +2 more
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Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme. [PDF]
J Healthc Inform ResCerono G, Melaiu O, Chicco D.
europepmc +1 more source
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury. [PDF]
Sci Rep, 2018 Wu L +8 more
europepmc +1 more source
CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
wiley +1 more source
A novel feature ranking method for prediction of cancer stages using proteomics data. [PDF]
PLoS One, 2017 Saghapour E, Kermani S, Sehhati M.
europepmc +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study. [PDF]
Biomed Eng Online, 2017 Najdi S, Gharbali AA, Fonseca JM.
europepmc +1 more source
Dementia Incidence in Individuals With Parkinson's Disease in the Framingham Heart Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Limited information exists on incident dementia in individuals with Parkinson's disease (PD) in US community‐based samples. We examined cognitive statuses and PD diagnoses of 183 individuals in the Framingham Heart Study (FHS) to establish incident dementia, mortality rates, associations with sex, age at PD onset, and education level.
Joshi Dookhy +11 more
wiley +1 more source