AIMC Topic: Young Adult

Clear Filters Showing 2851 to 2860 of 4629 articles

Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.

Journal of affective disorders Mar 20, 2019
OBJECTIVE: Major depression disorder (MDD) is one of the most prevalent mental disorders worldwide. Diagnosing depression in the early stage is crucial to treatment process. However, due to depression's comorbid nature and the subjectivity in diagnos...
Humans Male Depressive Disorder, Major Case-Control Studies Electroencephalography Logistic Models Galvanic Skin Response Support Vector Machine Eye Movement Measurements Machine Learning Algorithms Female Young Adult Adult
View on PubMed DOI

Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements - a pilot study.

Journal of neuroengineering and rehabilitation Mar 20, 2019
BACKGROUND: Intensive robot-assisted training of the upper limb after stroke can reduce motor impairment, even at the chronic stage. However, the effectiveness of practice for recovery depends on the selection of the practised movements. We hypothesi...
Middle Aged Pilot Projects Robotics Movement Paresis Upper Extremity Physical Therapy Modalities Stroke Rehabilitation Female Aged Young Adult Humans Adult Male
View on PubMed DOI

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Japanese journal of radiology Mar 19, 2019
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate between benign and malignant breast mass images from ultrasound.
Databases, Factual Retrospective Studies Female Reproducibility of Results Aged Humans Neural Networks, Computer Middle Aged Deep Learning ROC Curve Diagnosis, Differential Ultrasonography, Mammary Aged, 80 and over Young Adult Adult Sensitivity and Specificity Breast Neoplasms Breast Image Interpretation, Computer-Assisted
View on PubMed DOI

Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning.

Molecules (Basel, Switzerland) Mar 19, 2019
BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma-the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) sp...
Humans Machine Learning Bone Neoplasms Spectrophotometry, Infrared Sarcoma, Ewing Child, Preschool Prognosis Child Retrospective Studies Treatment Outcome Young Adult Neoadjuvant Therapy Adult Spectroscopy, Fourier Transform Infrared Adolescent
View on PubMed DOI

Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

NeuroImage. Clinical Mar 19, 2019
BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry ...
Models, Neurological Adult Humans Alcoholism Male Machine Learning Connectome Middle Aged Female Nerve Net Severity of Illness Index Young Adult Magnetic Resonance Imaging
View on PubMed DOI

A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

PloS one Mar 19, 2019
In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of political protest participation using social media data. While violent political protests are statistic...
Data Interpretation, Statistical Humans Violence Machine Learning Adult Politics Software Male Social Participation Female Middle Aged Aged Adolescent Young Adult Social Media
View on PubMed DOI

MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.

IEEE transactions on medical imaging Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
Image Interpretation, Computer-Assisted Brain Concussion Diffusion Magnetic Resonance Imaging Humans Algorithms Databases, Factual Brain Young Adult Adult Middle Aged Deep Learning Adolescent ROC Curve
View on PubMed DOI

3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.

Physics in medicine and biology Mar 18, 2019
The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of the most complicated due to large target volume, multiple prescription dose levels, and many radiation-sensitive critical structures near the target. Tr...
Adolescent Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Aged, 80 and over Radiotherapy, Intensity-Modulated Humans Young Adult Adult Algorithms Middle Aged Aged Deep Learning
View on PubMed DOI

Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

IEEE transactions on neural networks and learning systems Mar 15, 2019
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physical well-being and pathological conditions. A prerequisite for further analysis is the identification of the sleep macroarchitecture through manual sle...
Automation Cerebral Cortex Wavelet Analysis Humans Sleep Stages Neural Networks, Computer Electroencephalography Phase Synchronization Algorithms Reproducibility of Results Young Adult Middle Aged Adult Deep Learning Male Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation catheter ablation using robotic magnetic navigation system.

Clinical cardiology Mar 15, 2019
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablation using robotic magnetic navigation system (MNS), respectively.
Echocardiography Middle Aged Adolescent Treatment Outcome Follow-Up Studies Humans Risk Factors Heart Atria Prospective Studies Aged Heart Rate Tomography, X-Ray Computed Robotics Young Adult Catheter Ablation Female Equipment Design Adult Recurrence Surgery, Computer-Assisted Male Pulmonary Veins Heart Conduction System Atrial Fibrillation
View on PubMed DOI
Popular Topics
Recent Journals