AIMC Topic: Body Weight
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Effects of gender, body weight, and blood glucose dynamics on the growth hormone response to the glucagon stimulation test in patients with pituitary disease.
Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society
Dec 8, 2015
OBJECTIVE: Body weight blunts the growth hormone (GH) response to provocative stimuli. The appropriate GH cut-off to confirm GH deficiency in obese and overweight patients undergoing the glucagon stimulation test (GST) has recently been questioned. W...
Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax.
Artificial intelligence in medicine
Oct 22, 2015
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncological outpatients are no standard practice in many European hospital wards and outpatient settings. As a result, early signs of malnutrition are missed an...
Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.
The international journal of neuropsychopharmacology
May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Central Nervous System Stimulants
Attention Deficit Disorder with Hyperactivity
Methylphenidate
Drug Therapy, Computer-Assisted
Cotinine
Body Weight
Rest
Polymorphism, Genetic
Norepinephrine Plasma Membrane Transport Proteins
Receptors, Adrenergic, alpha-2
Stroop Test
Female
Male
Child
Treatment Outcome
Support Vector Machine
Age Factors
Magnetic Resonance Imaging
Lead
Humans
Brain
Prognosis
A novel device for studying weight supported, quadrupedal overground locomotion in spinal cord injured rats.
Journal of neuroscience methods
Mar 18, 2015
BACKGROUND: Providing weight support facilitates locomotion in spinal cord injured animals. To control weight support, robotic systems have been developed for treadmill stepping and more recently for overground walking.
Regular expression-based learning to extract bodyweight values from clinical notes.
Journal of biomedical informatics
Mar 5, 2015
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality improvement. These and other vitals signs data are frequently missing from structured tables of ele...
Rapid automated classification of anesthetic depth levels using GPU based parallelization of neural networks.
Journal of medical systems
Feb 4, 2015
The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating classification algorithms is ...
Robot-assisted walking with the Lokomat: the influence of different levels of guidance force on thorax and pelvis kinematics.
Clinical biomechanics (Bristol, Avon)
Jan 30, 2015
BACKGROUND: Little attention has been devoted to the thorax and pelvis movements during gait. The aim of this study is to compare differences in the thorax and pelvis kinematics during unassisted walking on a treadmill and during walking with robot a...
Novel method to predict body weight in children based on age and morphological facial features.
Journal of clinical pharmacology
Jan 6, 2015
A new and novel approach of predicting the body weight of children based on age and morphological facial features using a three-layer feed-forward artificial neural network (ANN) model is reported. The model takes in four parameters, including age-ba...
Walking with robot assistance: the influence of body weight support on the trunk and pelvis kinematics.
Disability and rehabilitation. Assistive technology
Feb 11, 2014
PURPOSE: The goal was to assess in healthy participants the three-dimensional kinematics of the pelvis and the trunk during robot-assisted treadmill walking (RATW) at 0%, 30% and 50% body weight support (BWS), compared with treadmill walking (TW).
Integrating weight and imaging features: A machine learning framework for larval instar identification in (Walker).
Bulletin of entomological research
Aug 1, 2025
The oriental armyworm, (Walker), is a highly migratory pest known for its sudden larval outbreaks, which result in severe crop losses. These unpredictable surges pose significant challenges for timely and accurate monitoring, as conventional methods...
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