AIMC Topic: Young Adult

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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...
Humans Neural Networks, Computer Outcome Assessment, Health Care Adult Child, Preschool Arthroplasty, Replacement, Knee Male Child New York Middle Aged ROC Curve Arthroplasty, Replacement, Hip Infant Databases, Factual Lower Extremity Deep Learning Orthopedic Procedures Female Inpatients Adolescent Infant, Newborn Orthopedics Aged Young Adult
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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...
Young Adult Adult Biomechanical Phenomena Male Middle Aged Adolescent Humans Algorithms Female Aged Aged, 80 and over Treatment Outcome Recovery of Function Combined Modality Therapy Robotics Electrodes Single-Blind Method Upper Extremity Electroencephalography Stroke Rehabilitation Wrist Transcranial Direct Current Stimulation Motor Cortex
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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...
Logistic Models Noise Multivariate Analysis Hearing Loss Auditory Threshold Humans Cochlea Machine Learning Aged, 80 and over Algorithms Young Adult Female Adult Aged Male Middle Aged
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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...
Adult Male Middle Aged Infant Adolescent Child, Preschool Child Supervised Machine Learning Medical Record Linkage Databases, Factual Electronic Health Records Female Infant, Newborn Aged Young Adult Humans Algorithms
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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...
Antibodies, Bacterial Diphtheria Employment Pertussis Toxin Travel-Related Illness Whooping Cough Humans Immunoglobulin G Young Adult Adult Cross-Sectional Studies Male Middle Aged Africa China Seroepidemiologic Studies Asian People
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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...
Anesthesia Entropy Consciousness Monitors Male Middle Aged Adolescent Propofol Monitoring, Physiologic Electroencephalography Humans Neural Networks, Computer Algorithms Female Young Adult Adult
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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...
Humans Machine Learning Cerebral Cortex Family Male Connectome Cognitive Dysfunction Nerve Net Magnetic Resonance Imaging Schizophrenia Cerebellum Pattern Recognition, Automated Biomarkers Female Young Adult Adult Sensitivity and Specificity
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Effect of verticalization with Erigo® in the acute rehabilitation of severe acquired brain injury.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology May 25, 2019
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objective to pursue in order to avoid the occurrence of secondary complications resulting from prolonged immobilization to which the patient is subjected dur...
Humans Female Aged Aged, 80 and over Robotics Patient Positioning Neurological Rehabilitation Orthostatic Intolerance Young Adult Adult Male Middle Aged Adolescent Brain Injuries
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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Ultrasound in medicine & biology May 25, 2019
The question of whether ultrasound point shear wave elastography can differentiate renal cell carcinoma (RCC) from angiomyolipoma (AML) is controversial. This study prospectively enrolled 51 patients with 52 renal tumors (42 RCCs, 10 AMLs). We obtain...
Angiomyolipoma Kidney Diagnosis, Differential Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Elasticity Imaging Techniques Adult Sensitivity and Specificity Male Middle Aged Adolescent Humans Machine Learning Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult
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Long-Dose Intensive Therapy Is Necessary for Strong, Clinically Significant, Upper Limb Functional Gains and Retained Gains in Severe/Moderate Chronic Stroke.

Neurorehabilitation and neural repair May 25, 2019
. Effective treatment methods are needed for moderate/severely impairment chronic stroke. . The questions were the following: (1) Is there need for long-dose therapy or is there a mid-treatment plateau? (2) Are the observed gains from the prior-studi...
Stroke Rehabilitation Outcome and Process Assessment, Health Care Robotics Single-Blind Method Stroke Motor Skills Upper Extremity Humans Female Aged Young Adult Adult Male Middle Aged Severity of Illness Index Recovery of Function Chronic Disease
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