AIMC Topic: Body Height

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Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.

Urology journal May 3, 2018
PURPOSE: To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males.
Adult Male Testosterone Testis Humans Neural Networks, Computer Retrospective Studies Models, Biological Luteinizing Hormone Body Height Chromosome Aberrations Organ Size Semen Azoospermia Follicle Stimulating Hormone
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Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.

Chemosphere Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
Fetal Development Parabens Endocrine Disruptors Maternal Exposure Middle Aged Birth Weight Infant, Newborn Humans China Young Adult Environmental Pollutants Pregnancy Cohort Studies Adult Body Height Female Linear Models Male
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Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.

BMC endocrine disorders May 12, 2025
BACKGROUND: Short stature is a prevalent pediatric endocrine disorder for which early detection and prediction are pivotal for improving treatment outcomes. However, existing diagnostic criteria often lack the necessary sensitivity and specificity be...
Child Body Height Machine Learning Prognosis Female Male Case-Control Studies Adolescent Growth Disorders Child, Preschool Humans
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Machine learning assisted noncontact neonatal anthropometry using FMCW radar.

Scientific reports May 8, 2025
This study proposes a method for measuring the height and weight of a neonate conveniently, safely, and accurately by applying a convolutional neural network to frequency-modulated continuous-wave (FMCW) radar sensor data. Fifteen neonates, with pare...
Humans Neural Networks, Computer Machine Learning Female Body Height Infant, Newborn Anthropometry Male Radar Body Weight
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Prediction of Adult Height by Machine Learning Technique.

The Journal of clinical endocrinology and metabolism Jun 16, 2021
CONTEXT: Prediction of AH is frequently undertaken in the clinical setting. The commonly used methods are based on the assessment of skeletal maturation. Predictive algorithms generated by machine learning, which can already automatically drive cars ...
Adult Male Infant Child, Preschool Algorithms Child Humans Decision Support Techniques Body Height Longitudinal Studies Infant, Newborn Machine Learning Pediatrics Regression Analysis Anthropometry Predictive Value of Tests Growth Charts
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Machine learning-based prediction of response to growth hormone treatment in Turner syndrome: the LG Growth Study.

Journal of pediatric endocrinology & metabolism : JPEM Jan 28, 2020
Background Growth hormone (GH) treatment has become a common practice in Turner syndrome (TS). However, there are only a few studies on the response to GH treatment in TS. The aim of this study is to predict the responsiveness to GH treatment and to ...
Growth Disorders Female Child Male Humans Body Height Predictive Value of Tests Human Growth Hormone Turner Syndrome Machine Learning Time Factors Retrospective Studies
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Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Journal of clinical research in pediatric endocrinology Sep 1, 2015
OBJECTIVE: Malnutrition continues to be a leading cause of stunted growth in many countries. This study aimed to investigate serum nesfatin-1 and orexin-A levels in underweight children and the potential correlations of these levels with anthropometr...
Orexins Calcium-Binding Proteins Nucleobindins Humans Body Height Female Body Mass Index Anthropometry Case-Control Studies DNA-Binding Proteins Nerve Tissue Proteins Male Multivariate Analysis Child, Preschool Body Weight Child Nutrition Disorders Thyrotropin Child Vitamin B 12 Thyroxine Enzyme-Linked Immunosorbent Assay
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Neural network models - a novel tool for predicting the efficacy of growth hormone (GH) therapy in children with short stature.

Neuro endocrinology letters Jan 1, 2015
INTRODUCTION: The leading method for prediction of growth hormone (GH) therapy effectiveness are multiple linear regression (MLR) models. Best of our knowledge, we are the first to apply artificial neural networks (ANN) to solve this problem. For ANN...
Human Growth Hormone Child Recombinant Proteins Outcome Assessment, Health Care Body Height Dwarfism Growth Hormone Neural Networks, Computer Female Humans Male Adolescent
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