Results 211 to 220 of about 15,843,136 (243)
Number of Publications on New Clinical Prediction Models: A Bibliometric Review. [PDF]
Arshi B +5 more
europepmc +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
Instability of the AUROC of Clinical Prediction Models. [PDF]
van Leeuwen FD +5 more
europepmc +1 more source
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation. [PDF]
Digitale J +4 more
europepmc +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
A Comprehensive Assessment of Plasma CXCL9 and CXCL10 in Improving Clinical Prediction Models for Kidney Allograft Rejection. [PDF]
Souza AA +7 more
europepmc +1 more source
Correcting for case-mix shift when developing clinical prediction models. [PDF]
Elayan H +7 more
europepmc +1 more source
Artificial intelligence in hepatopathy diagnosis and treatment: Big data analytics, deep learning, and clinical prediction models. [PDF]
Sun JR, Sun XN, Lu BJ, Deng BC.
europepmc +1 more source

