AIMC Topic: Young Adult

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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...
Models, Theoretical Supervised Machine Learning Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Humans Prognosis Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged
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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 Female Aged Image Processing, Computer-Assisted Young Adult Magnetic Resonance Imaging Adult Multimodal Imaging Male Chemoradiotherapy Middle Aged Nasopharyngeal Carcinoma
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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...
Sensitivity and Specificity Male Case-Control Studies Ultrasonography Support Vector Machine Syndrome Feasibility Studies Superficial Back Muscles Myofascial Pain Syndromes Humans Algorithms Female Young Adult Adult
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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...
Positron-Emission Tomography Male Middle Aged Machine Learning Aged Humans Image Processing, Computer-Assisted Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Magnetic Resonance Imaging Young Adult Female Adult Multimodal Imaging Reproducibility of Results Brain Neoplasms
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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...
Male Middle Aged Robotics Equipment Design Signal Processing, Computer-Assisted Algorithms Computer Simulation Young Adult Adult Biomechanical Phenomena Calibration Movement Anterior Cruciate Ligament Injuries Electromyography Knee Joint Electrodes Exercise Therapy Healthy Volunteers Humans
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Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

eNeuro Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Humans Machine Learning Brain Female Magnetic Resonance Imaging Correlation of Data Anxiety Young Adult Brain Mapping Fear Psychiatric Status Rating Scales Adult Oxygen Surveys and Questionnaires Male Pain Adolescent Middle Aged Self Report Image Processing, Computer-Assisted
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The Relationship Between Trust and Use Choice in Human-Robot Interaction.

Human factors Jan 2, 2019
OBJECTIVE: To understand the influence of trust on use choice in human-robot interaction via experimental investigation.
Humans Female Decision Making Robotics Young Adult Video Recording Man-Machine Systems Male Trust Surveys and Questionnaires Adolescent
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Quantitation of serum 25(OH)D2 and 25(OH)D3 concentrations by liquid chromatography tandem mass spectrometry in patients with diabetes mellitus.

Journal of food and drug analysis Dec 31, 2018
Vitamin D has been considered to regulate calcium and phosphorus homeostasis and to preserve skeletal integrity. Serum 25-hydroxyvitamin D (25(OH)D) is the best indicator of vitamin D levels. The association of serum 25(OH)D deficiency with increased...
Chromatography, High Pressure Liquid Middle Aged Humans Tandem Mass Spectrometry Case-Control Studies Female Diabetes Mellitus, Type 2 Young Adult Diabetes Mellitus, Type 1 Adult Vitamin D Male
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Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network.

EBioMedicine Dec 29, 2018
BACKGROUND: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,...
Humans Neural Networks, Computer Machine Learning Algorithms Female Moyamoya Disease ROC Curve Reproducibility of Results Image Processing, Computer-Assisted Young Adult Data Interpretation, Statistical Adult Radiography Male Skull Middle Aged
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BP neural network prediction model for suicide attempt among Chinese rural residents.

Journal of affective disorders Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Self Concept Asian People Adaptation, Psychological Depressive Disorder Impulsive Behavior Surveys and Questionnaires Adolescent Child Logistic Models Rural Population Middle Aged Risk Factors Humans Suicide, Attempted Young Adult Neural Networks, Computer Case-Control Studies Adult Female China Sensitivity and Specificity Social Support Male
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