AIMC Topic: Case-Control Studies

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Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

PloS one
The number of the overweight people continues to rise across the world. Studies have shown that being overweight can increase health risks, such as high blood pressure, diabetes mellitus, coronary heart disease, and certain forms of cancer. Therefore...

PredyCLU: a prediction system for chronic leg ulcers based on fuzzy logic; part I - exploring the venous side.

International wound journal
Chronic leg ulcers (CLUs) are a common occurrence in the western population and are associated with a negative impact on the quality of life of patients. They also cause a substantial burden on the health budget. The pathogenesis of leg ulceration is...

Pregnancy risk factors in autism: a pilot study with artificial neural networks.

Pediatric research
BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. Moreover, due to the complexity of risk factors interplay, traditional statistics is often unable to...

Characterization of the abnormal lipid profile in Chinese patients with psoriasis.

International journal of clinical and experimental pathology
Psoriasis is a chronic inflammatory skin disease that has been associated with abnormal lipid metabolism. To characterize the lipid profile in Chinese, 86 patients with psoriasis and 84 healthy control subjects were assessed. Compared with healthy co...

A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis.

Medical & biological engineering & computing
Gait variability reflects important information for the maintenance of human beings' health. For pathological populations, changes in gait variability signal the presence of abnormal motor control strategies. Quantitative analysis of the altered gait...

Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements.

Archives of physical medicine and rehabilitation
OBJECTIVE: To improve measurement of upper extremity (UE) use in the community by evaluating the feasibility of using body-worn sensor data and machine learning models to distinguish productive prehensile and bimanual UE activity use from extraneous ...

Beating Heart Minimally Invasive Mitral Valve Surgery in Patients With Patent Coronary Bypass Grafts.

The Canadian journal of cardiology
BACKGROUND: Redo mitral valve surgery in patients with patent coronary bypass grafts carries a risk of graft injury and postoperative bleeding. We compare early results of reoperative minimally invasive on-pump beating heart mitral valve surgery (OPB...

Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).

Scalable gastroscopic video summarization via similar-inhibition dictionary selection.

Artificial intelligence in medicine
OBJECTIVE: This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.