Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study. [PDF]
Guo Y +3 more
europepmc +1 more source
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review. [PDF]
Lourenço L +4 more
europepmc +1 more source
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou +6 more
wiley +1 more source
Estimating generalized propensity scores with survey and attrition weighted data. [PDF]
McCaffrey DF +5 more
europepmc +1 more source
Changes in Immune‐Inflammation Status and Prognosis in Pregnancy‐Related Cerebral Venous Thrombosis
ABSTRACT Objective Distinguishing pathological changes from physiological adaptations in pregnancy‐related cerebral venous thrombosis (CVT) is clinically challenging. This study aimed to characterize coagulation, immune‐inflammation, and dehydration status in these patients and assess their prognostic value.
Xiaoming Zhang +7 more
wiley +1 more source
Nonparticipation Bias in Accelerometer-Based Studies and the Use of Propensity Scores. [PDF]
Antoun C, Wenz A.
europepmc +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Improving Inverse Probability Weighting by Post-calibrating Its Propensity Scores. [PDF]
Gutman R, Karavani E, Shimoni Y.
europepmc +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source

