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The natural history of multiple sclerosis, a geographically based study 10: relapses and long-term disability
TLDR
Relationships between relapses and disability progression for outcomes of requiring assistance to walk, being bedridden and dying from multiple sclerosis by analysing 28 000 patient-years of evolution in 806-bout onset patients from the London Ontario natural history cohort is investigated.
Onset Detection in Surface Electromyographic Signals: A Systematic Comparison of Methods
TLDR
It is shown that some of the threshold-based signal-power-estimation procedures are very sensitive to signal parameters, whereas statistically optimized algorithms are generally more robust.
Onset of secondary progressive phase and long-term evolution of multiple sclerosis
TLDR
Baseline clinical features of early relapse frequency and age at onset can be used to select groups at higher risk of developing severe disability based on the probability of their disease becoming progressive within a defined time period.
CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data
TLDR
A new Bioconductor package called CMA for automatically performing variable selection, parameter tuning, classifier construction, and unbiased evaluation of the constructed classifiers using a large number of usual methods.
Disability as an outcome in MS clinical trials
TLDR
Examination of widely used definitions of treatment failure demonstrated that disability progression was no more likely than similarly defined improvement in secondary progressive MS trials, highlighting the difficulty in determining effectiveness of therapy in chronic diseases.
What is the “normal” fetal heart rate?
TLDR
A retrospective computerized analysis of electronically recorded FHR tracings of singleton pregnancies in three German medical centers from 2000 to 2007 found normal ranges for FHR are 120 to 160 bpm, which seem to be safe in daily practice.
Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value
TLDR
This work proposes a novel but simple two-step approach based on random forests and partial least squares (PLS) dimension reduction embedding the idea of pre-validation suggested by Tibshirani and colleagues, which is based on an internal cross- validation for avoiding overfitting.
MRI T2 lesion burden in multiple sclerosis
TLDR
This study confirmed the limited correlation between clinical manifestations and T2 burden of disease (BOD) but revealed an important plateauing relationship between T2 BOD and disability.
Association between Walking Speed and Age in Healthy, Free-Living Individuals Using Mobile Accelerometry—A Cross-Sectional Study
TLDR
This is the first study using accelerometry which shows an association between walking speed and age in free-living, healthy individuals, and Absolute values of gait speed are comparable to published normal ranges in clinical settings.
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