Search results for "LEARNING"
showing 10 items of 6669 documents
Community detection-based deep neural network architectures: A fully automated framework based on Likert-scale data
2020
[EN] Deep neural networks (DNNs) have emerged as a state-of-the-art tool in very different research fields due to its adaptive power to the decision space since they do not presuppose any linear relationship between data. Some of the main disadvantages of these trending models are that the choice of the network underlying architecture profoundly influences the performance of the model and that the architecture design requires prior knowledge of the field of study. The use of questionnaires is hugely extended in social/behavioral sciences. The main contribution of this work is to automate the process of a DNN architecture design by using an agglomerative hierarchical algorithm that mimics th…
Advanced technologies for detecting tremor in Parkinson's disease.
2019
Objective Accurate and reliable detection of tremor onset in Parkinson’s disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning methods for more accurate detection of rest tremor in PD. Methods We analyzed the local field potential (LFP) recordings from the subthalamic nucleus region in 12 patients with PD (16 recordings). To explore the optimal biomarkers and the best performing classifier, the performance of state-of-the-art machine learning (ML) algorithms and various features of the subthalamic LFPs were compared. We further used a Kalman filtering technique in feature…
Gait Disorders Questionnaire–Promising Tool for Virtual Reality Designing in Patients With Parkinson's Disease
2019
Background: Gait disorders (GD) are frequent and disabling symptoms in patients with Parkinson's disease, mostly because they significantly limit mobility and often lead to fear of falls or actual falls. Nowadays, rehabilitation is considered to be the most effective nonpharmacological approach to reduce risk of falls. Using paradigms in virtual reality (VR) is a promising tool in neurorehabilitation because of the potential improvement in motor learning and improvement in daily functioning by replicating everyday real-life scenarios. Objective: To identify the most prevalent everyday situations which impair gait in PD that could be simulated in virtual reality (VR) environment. Methods: A …
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique
2017
Stereotactic neuro-radiosurgery is a well-established therapy for intracranial diseases, especially brain metastases and highly invasive cancers that are difficult to treat with conventional surgery or radiotherapy. Nowadays, magnetic resonance imaging (MRI) is the most used modality in radiation therapy for soft-tissue anatomical districts, allowing for an accurate gross tumor volume (GTV) segmentation. Investigating also necrotic material within the whole tumor has significant clinical value in treatment planning and cancer progression assessment. These pathological necrotic regions are generally characterized by hypoxia, which is implicated in several aspects of tumor development and gro…
The role of PET radiomic features in prostate cancer: a systematic review
2021
Aim: This systematic review aims to present the available evidence on the use of radiomic features (RFs) extracted from PET imaging in patients with prostate cancer (PCa). Materials and methods: A comprehensive literature search of studies on the utility of PET-derived RFs in patients with PCa was performed in the PubMed/MEDLINE database through February 24th, 2021 using the following search string: [“positron-emission tomography” (MeSh terms) OR “positron emission tomography computed tomography” (MeSh terms) OR “positron-emission tomography” (all fields) OR “positron emission tomography computed tomography” (all fields) OR “PET” (all fields)] AND [“radiomics” (all fields) OR “radiomic” (al…
Auditory Training in Deaf Children
2010
Deaf children are, earlier than in the past, identified and can benefit of new and highperformance devices (as cochlear implants or digital hearing aids). However, a great variability in their spoken language skills is observed (12) and first attributable to the well-known effect of the age of auditory rehabilitation (15, 16, 17, 18, 19, 20, 21, 22). The second assessment concerns the way speech disorders are treated: new technologies are not linked to any change in the way speech therapy is delivered, particularly in the field of auditory training. Auditory training constitutes an important part of the speech therapy addressed to the deaf children and must start as soon as possible. The go…
Behavioural treatment of improper eating by an institutionalised woman with profound intellectual disability—description of a successful intervention
2002
Intensive 11-day behavioural training of an institutionalised woman with profound intellectual disability was used to teach proper eating by reducing her eating errors. The methods used included an increased number of learning opportunities, graduated guidance, the use of social reinforcement, and mild punishment through simple correction of eating errors. The treatment was faded into a maintenance phase. After the intensive training phase, the participant ceased to eat with her fingers from a plate, and her eating changed to a more tidy habit. She was also released from having her hand tied during the meals. The results were maintained during an informal follow-up 4 years later.
<p>Children with Dyslexia Have Altered Cross-Modal Processing Linked to Binocular Fusion. A Pilot Study</p>
2020
Introduction The cause of dyslexia, a reading disability characterized by difficulties with accurate and/or fluent word recognition and by poor spelling and decoding abilities, is unknown. A considerable body of evidence shows that dyslexics have phonological disorders. Other studies support a theory of altered cross-modal processing with the existence of a pan-sensory temporal processing deficit associated with dyslexia. Learning to read ultimately relies on the formation of automatic multisensory representations of sounds and their written representation while eyes fix a word or move along a text. We therefore studied the effect of brief sounds on vision with a modification of binocular f…
The use of the Free Recall Method in the Analysis of Verbal Memory Deficits in Dual Diagnosis Patients
2009
In schizophrenia there are specific cognitive deficits including verbal memory deficits. The objective of this study was to examine short-term verbal memory differences between subjects with and without a dual diagnosis.A group of 80 patients with a diagnose of schizophrenia were examined. 40 of them never used illicit drugs, the other 40 also received a diagnose of addiction to psychoactive substances. The Free Recall Method was used to compare two examined groups. The results of addicted and not addicted schizophrenic patients were analyzed in all trials of the 5 stages of the examination with the use of Free Recall Method. Persons suffering from schizophrenia can usually repeat much fewe…
Motor imagery and action observation following immobilization-induced hypoactivity: A narrative review.
2020
Abstract Background In sports, the risk of pathology or event that leads to an injury, a cessation of practice or even to an immobilization is high. The subsequent reduction of physical activity, or hypoactivity, induces neural and muscular changes that adversely affect motor skills and functional motor rehabilitation. Because the implementation of physical practice is difficult, if not impossible, during and immediately following injury or immobilization, complementary techniques have been proposed to minimize the deleterious impact of hypoactivity on neuromuscular function. Objective The current narrative review aimed to discuss the contributions of motor imagery and action observation, w…