AIMC Topic: Cross-Sectional Studies

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Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PloS one
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research w...

Large-Vessel Vasculopathy in Children With Sickle Cell Disease: A Magnetic Resonance Imaging Study of Infarct Topography and Focal Atrophy.

Pediatric neurology
BACKGROUND: Large-vessel vasculopathy (LVV) increases stroke risk in pediatric sickle cell disease beyond the baseline elevated stroke risk in this vulnerable population. The mechanisms underlying this added risk and its unique impact on the developi...

Cross-sectional survey of the amount of free sugars and calories in carbonated sugar-sweetened beverages on sale in the UK.

BMJ open
OBJECTIVES: To investigate the free sugars and calorie content of carbonated sugar-sweetened beverages (CSSB) available in the main UK supermarkets.

Making use of longitudinal information in pattern recognition.

Human brain mapping
Longitudinal designs are widely used in medical studies as a means of observing within-subject changes over time in groups of subjects, thereby aiming to improve sensitivity for detecting disease effects. Paralleling an increased use of such studies ...

Robotic surgery training: construct validity of Global Evaluative Assessment of Robotic Skills (GEARS).

Journal of robotic surgery
The objective of this study is to determine the ability of the GEARS scale (Global Evaluative Assessment of Robotic Skills) to differentiate individuals with different levels of experience in robotic surgery, as a fundamental validation. This is a cr...

Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

Epidemiology and health
OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation. This study used a multicategory su...

A Novel Artificial Intelligence System for Endotracheal Intubation.

Prehospital emergency care
OBJECTIVE: Adequate visualization of the glottic opening is a key factor to successful endotracheal intubation (ETI); however, few objective tools exist to help guide providers' ETI attempts toward the glottic opening in real-time. Machine learning/a...