Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Showing 484-504 of 11,972 articles
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) r...

Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEA...

Adjusting the dose in paediatric care: dispersing four different aspirin tablets and taking a proportion.

OBJECTIVES: When caring for children in a hospital setting, tablets are often manipulated at the war...

FriWalk robotic walker: usability, acceptance and UX evaluation after a pilot study in a real environment.

: Scientific evidence supports that prevention strategies like multicomponent physical exercise help...

Meat quality evaluation based on computer vision technique: A review.

Nowadays people tend to include more meat in their diet thanks to the improvement in standards of li...

Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' ...

Instant White Rice with Pigmented Giant Embryonic Rice Improves Glucose Metabolism and Inhibits Oxidative Stress in High-Fat Diet-Fed Mice.

The effects of instant cooked rice made from a combination of white rice and pigmented giant embryon...

Identifying predictors of within-person variance in MRI-based brain volume estimates.

Adequate reliability of measurement is a precondition for investigating individual differences and a...

Development of a robotic walker for individuals with cerebral palsy.

This study describes the first use of a robotic walker in youth and young adults with cerebral pals...

Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks.

First and second ventilatory thresholds (VT and VT) represent the boundaries of the moderate-heavy a...

Natural language processing of lifestyle modification documentation.

Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment...

Bovine lactoferrin ameliorates antioxidant esterase activity and 8-isoprostane levels in high-cholesterol-diet fed rats.

The main aim of the present study was to show the effect of bovineLactoferrin (bLF), an 80 kD i...

Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exer...

Noninvasive prediction of Blood Lactate through a machine learning-based approach.

We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, ...

Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles.

The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle exercise ...

Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.

BACKGROUND: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes ...

Exercise-Associated Hyponatremia.

Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that...

Automatically Evaluating Balance: A Machine Learning Approach.

Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due ...

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