Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Self-reported disability trajectories and their predictors among patients receiving care by physical therapists for musculoskeletal conditions: a retrospective analysis of registry data. [PDF]
A Lentz T+6 more
europepmc +1 more source
The Magdalen Islands their topography, natural history, social condition and commercial importance
openaire +2 more sources
Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller+12 more
wiley +1 more source
Marita Mathijsen, Historiezucht. De obsessie met het verleden in de negentiende eeuw
Brecht Deseure
doaj
Breaking the Silence: A Case for Early Intervention in Profound Adolescent Hearing Loss. [PDF]
Vargas AC+6 more
europepmc +1 more source
ABSTRACT Objective To provide a comprehensive clinical and genetic characterization of individuals with arthrogryposis multiplex congenita (AMC), focusing on the distribution of genetic etiologies across the neuromuscular spectrum and comparing myogenic and neurogenic subtypes. Methods A total of 105 individuals with AMC were clinically and genetically
Florencia Pérez‐Vidarte+13 more
wiley +1 more source
Socioeconomic and sociodemographic differences in the consequences of the COVID-19 pandemic and their impact on self-rated health and mental well-being: results from a cross-sectional study in Germany. [PDF]
Babitsch B, Ciupitu-Plath C.
europepmc +1 more source