AIMC Topic: Young Adult

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Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Female Laparotomy Middle Aged Young Adult Abdominal Injuries Humans Blood Transfusion Adult Trauma Severity Indices Blood Pressure Sensitivity and Specificity Male Machine Learning Patient Selection Algorithms Quality Improvement Retrospective Studies Clinical Decision-Making
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Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

NeuroImage Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Quality Control Humans Brain Adolescent Autism Spectrum Disorder Datasets as Topic Young Adult Child Neuroimaging Adult Support Vector Machine Conduct Disorder Sensitivity and Specificity Longitudinal Studies Human Development Cross-Sectional Studies Magnetic Resonance Imaging
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An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries.

Journal of neural engineering Jan 8, 2019
OBJECTIVE: In this study, we combine a wheelchair and an intelligent robotic arm based on an electrooculogram (EOG) signal to help patients with spinal cord injuries (SCIs) accomplish a self-drinking task. The main challenge is to accurately control ...
User-Computer Interface Robotics Psychomotor Performance Blinking Spinal Cord Injuries Young Adult Adult Man-Machine Systems Male Electrooculography Adolescent Wheelchairs Eye Movements Humans Female
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Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke.

Environmental science and pollution research international Jan 8, 2019
The use of pesticides has been increasing in agriculture, leading to a public health problem. The aim of this study was to evaluate ototoxic effects in farmers who were exposed to cigarette smoke and/or pesticides and to identify possible classificat...
Hearing Loss Nicotiana Air Pollutants, Occupational Support Vector Machine Pesticides Humans Smoking Machine Learning Adult Tobacco Smoke Pollution Algorithms Male Farmers Female Brazil Aged Adolescent Young Adult Occupational Exposure
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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

World journal of surgical oncology Jan 8, 2019
BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. ...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Aged Young Adult Thyroid Nodule ROC Curve Adult Diagnosis, Differential Male Predictive Value of Tests Middle Aged Image Interpretation, Computer-Assisted Thyroid Gland Ultrasonography
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Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning.

BMC medical informatics and decision making Jan 8, 2019
BACKGROUND: Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient...
Humans Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Middle Aged Prognosis Arthroplasty, Replacement, Hip Young Adult Models, Theoretical Female Adult Supervised Machine Learning Aged Male Aged, 80 and over
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Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.

Physics in medicine and biology Jan 8, 2019
Multi-modality examinations have been extensively applied in current clinical cancer management. Leveraging multi-modality medical images can be highly beneficial for automated tumor segmentation as they provide complementary information that could m...
Humans Neural Networks, Computer Tomography, X-Ray Computed Middle Aged Female Multimodal Imaging Image Processing, Computer-Assisted Aged Chemoradiotherapy Magnetic Resonance Imaging Young Adult Nasopharyngeal Carcinoma Adult Male
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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Case-Control Studies Ultrasonography Support Vector Machine Syndrome Feasibility Studies Female Young Adult Adult Sensitivity and Specificity Male Superficial Back Muscles Myofascial Pain Syndromes Humans Algorithms
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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Physics in medicine and biology Jan 7, 2019
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel intensities are not related to properties of photon attenuation and bone/air interfaces have similarly low signal. This work presents a learning-based meth...
Humans Multimodal Imaging Brain Neoplasms Machine Learning Positron-Emission Tomography Male Retrospective Studies Middle Aged Tomography, X-Ray Computed Reproducibility of Results Image Processing, Computer-Assisted Female Aged Magnetic Resonance Imaging Aged, 80 and over Young Adult Adult
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Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Biomedical engineering online Jan 3, 2019
BACKGROUND: A direct blow to the knee is one way to injure the anterior cruciate ligament (ACL), e.g., during a football or traffic accident. Robot-assisted therapy (RAT) rehabilitation, simulating regular walking, improves walking and balance abilit...
Young Adult Adult Biomechanical Phenomena Male Middle Aged Robotics Humans Algorithms Computer Simulation Equipment Design Exercise Therapy Signal Processing, Computer-Assisted Healthy Volunteers Electromyography Calibration Knee Joint Movement Electrodes Anterior Cruciate Ligament Injuries
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