AIMC Topic: Young Adult

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Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia.

Scientific reports Jun 6, 2019
In this paper the optimum timing for the postoperative functional cure of basic intermittent exotropia is explored based on support vector machine (SVM). One hundred and thirty-two patients were recruited in this prospective cross-sectional study wit...
Humans Prospective Studies Female Reproducibility of Results Young Adult Postoperative Period Exotropia Child Treatment Outcome Support Vector Machine Follow-Up Studies Regression Analysis Visual Acuity Adult Cross-Sectional Studies Male Adolescent Child, Preschool
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Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis.

IEEE transactions on cybernetics Jun 5, 2019
Deep multitask learning for face analysis has received increasing attentions. From literature, most existing methods focus on optimizing a main task by jointly learning several auxiliary tasks. It is challenging to consider the performance of each ta...
Young Adult Adult Male Middle Aged Infant Adolescent Databases, Factual Female Infant, Newborn Aged Aged, 80 and over Biometric Identification Child, Preschool Child Image Processing, Computer-Assisted Anatomic Landmarks Face Humans Machine Learning
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[Application of deep learning for the occupational health of VDT workers].

Sangyo eiseigaku zasshi = Journal of occupational health Jun 5, 2019
Young Adult Adult Male Deep Learning Occupational Health Computer Terminals Humans Female
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Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?

The Journal of arthroplasty Jun 3, 2019
BACKGROUND: Recent advances in machine learning have given rise to deep learning, which uses hierarchical layers to build models, offering the ability to advance value-based healthcare by better predicting patient outcomes and costs of a given treatm...
ROC Curve Lower Extremity Inpatients Outcome Assessment, Health Care Arthroplasty, Replacement, Knee New York Arthroplasty, Replacement, Hip Orthopedic Procedures Orthopedics Infant Deep Learning Adolescent Child, Preschool Child Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Databases, Factual Female Infant, Newborn
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Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2019
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients ar...
Single-Blind Method Electroencephalography Wrist Combined Modality Therapy Humans Electrodes Algorithms Upper Extremity Female Middle Aged Aged Adolescent Aged, 80 and over Stroke Rehabilitation Treatment Outcome Young Adult Transcranial Direct Current Stimulation Adult Recovery of Function Motor Cortex Biomechanical Phenomena Robotics Male
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Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study.

PloS one Jun 3, 2019
We propose a machine learning (ML)-based model for predicting cochlear dead regions (DRs) in patients with hearing loss of various etiologies. Five hundred and fifty-five ears from 380 patients (3,770 test samples) diagnosed with sensorineural hearin...
Middle Aged Cochlea Logistic Models Aged Humans Noise Aged, 80 and over Multivariate Analysis Machine Learning Young Adult Hearing Loss Algorithms Auditory Threshold Adult Female Male
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Statistical supervised meta-ensemble algorithm for medical record linkage.

Journal of biomedical informatics May 31, 2019
Identifying unique patients across multiple care facilities or services is a major challenge in providing continuous care and undertaking health research. Identifying and linking patients without compromising privacy and security is an emerging issue...
Aged Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Supervised Machine Learning Medical Record Linkage Humans Algorithms Databases, Factual Electronic Health Records Female Infant, Newborn
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Seroprevalence of antibodies for pertussis and diphtheria among people leaving or entering China: a cross-sectional study.

Journal of infection in developing countries May 31, 2019
INTRODUCTION: Despite high population immunity, pertussis remains one of the leading causes of vaccine-preventable deaths worldwide. The aim of this study was to determine the seroprevalence of IgG antibodies to pertussis toxin (PT) and diphtheria am...
Asian People Male Antibodies, Bacterial Middle Aged Humans Travel-Related Illness Diphtheria Africa Immunoglobulin G Whooping Cough Employment China Young Adult Pertussis Toxin Seroepidemiologic Studies Adult Cross-Sectional Studies
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Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia.

Sensors (Basel, Switzerland) May 31, 2019
The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA). In this study, we propose a method that combine...
Young Adult Monitoring, Physiologic Adult Electroencephalography Male Humans Anesthesia Middle Aged Neural Networks, Computer Entropy Adolescent Algorithms Consciousness Monitors Propofol Female
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Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.

Human brain mapping May 30, 2019
Schizophrenia (SCZ) patients and their unaffected first-degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be...
Cerebellum Adult Pattern Recognition, Automated Humans Nerve Net Sensitivity and Specificity Cerebral Cortex Machine Learning Family Male Biomarkers Connectome Cognitive Dysfunction Female Magnetic Resonance Imaging Young Adult Schizophrenia
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