AIMC Topic: Child

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Development and validation of a brain maturation index using longitudinal neuroanatomical scans.

NeuroImage
BACKGROUND: Major psychiatric disorders are increasingly being conceptualized as 'neurodevelopmental', because they are associated with aberrant brain maturation. Several studies have hypothesized that a brain maturation index integrating patterns of...

Practical Recommendations for Robot-Assisted Treadmill Therapy (Lokomat) in Children with Cerebral Palsy: Indications, Goal Setting, and Clinical Implementation within the WHO-ICF Framework.

Neuropediatrics
Active participation and the highest level of independence during daily living are primary goals in neurorehabilitation. Therefore, standing and walking are key factors in many rehabilitation programs. Despite inconclusive evidence considering the be...

Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

The Journal of international medical research
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...

A novel method for discrimination between innocent and pathological heart murmurs.

Medical engineering & physics
This paper presents a novel method for discrimination between innocent and pathological murmurs using the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasis o...

Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier.

Computational and mathematical methods in medicine
The position of the hinge point of mitral annulus (MA) is important for segmentation, modeling and multimodalities registration of cardiac structures. The main difficulties in identifying the hinge point of MA are the inherent noisy, low resolution o...

Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology
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...

On the proper selection of preictal period for seizure prediction.

Epilepsy & behavior : E&B
Supervised machine learning-based seizure prediction methods consider preictal period as an important prerequisite parameter during training. However, the exact length of the preictal state is unclear and varies from seizure to seizure. We propose a ...

Participation and Enjoyment in Play with a Robot between Children with Cerebral Palsy who use AAC and their Peers.

Augmentative and alternative communication (Baltimore, Md. : 1985)
This study explores children with complex communication needs, their peers and adult support persons in play with the talking and moving robot LekBot. Two triads were filmed playing with LekBot at pre-school. LekBot was developed to facilitate indepe...

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...

Robotic and clinical evaluation of upper limb motor performance in patients with Friedreich's Ataxia: an observational study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Friedreich's ataxia (FRDA) is the most common hereditary autosomal recessive form of ataxia. In this disease there is early manifestation of gait ataxia, and dysmetria of the arms and legs which causes impairment in daily activities that ...