AIMC Topic: Female

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RNA-seq analysis reveals different gene ontologies and pathways in rheumatoid arthritis and Kashin-Beck disease.

International journal of rheumatic diseases Sep 5, 2018
AIMS: To understand the pathogenesis of cartilage damage in Kashin-Beck disease (KBD) and rheumatoid arthritis (RA) which similar clinical symptoms.
Humans Phenotype Female Aged Male Middle Aged Gene Regulatory Networks RNA Arthritis, Rheumatoid Genetic Predisposition to Disease Inflammation Mediators Cartilage Gene Ontology Kashin-Beck Disease Sequence Analysis, RNA Signal Transduction Databases, Genetic Proteoglycans
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Neural Networks, Computer Algorithms Age Factors Adult Retrospective Studies Symptom Assessment Voice Disorders Humans Female Supervised Machine Learning Wounds and Injuries Laryngeal Neoplasms Male Aged Sex Factors Demography Voice Quality Middle Aged Smoking Vocal Cord Paralysis Glottis Severity of Illness Index Alcohol Drinking
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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Adult Male Middle Aged Severity of Illness Index Humans Deep Learning Tomography, X-Ray Computed Liver Cirrhosis Female Contrast Media Reproducibility of Results Liver Radiographic Image Enhancement
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A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BMC medical informatics and decision making Sep 4, 2018
BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral load within 6 months of initiati...
Male HIV Infections Viral Load Anti-HIV Agents Cohort Studies Humans Machine Learning Female Adult Antiretroviral Therapy, Highly Active Logistic Models Treatment Outcome Predictive Value of Tests CD4 Lymphocyte Count
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EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.

Computational and mathematical methods in medicine Sep 4, 2018
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of trad...
Biological Ontologies Electroencephalography Sleep Stages Sleep Humans Artifacts Automation Data Analysis Female Male
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The impact of robotic intervention on joint attention in children with autism spectrum disorders.

Molecular autism Sep 4, 2018
BACKGROUND: A growing body of anecdotal evidence indicates that the use of robots may provide unique opportunities for assisting children with autism spectrum disorders (ASD). However, previous studies investigating the effects of interventions using...
Attention Social Behavior Child Behavior Humans Autism Spectrum Disorder Female Male Child, Preschool Child Robotics
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Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

IEEE/ACM transactions on computational biology and bioinformatics Sep 3, 2018
Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. The main objective is to find single nucleotide polymorphisms (SNPs) that influence a particular phenotype (i.e., disease ...
Infant, Newborn Premature Birth Deep Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Black or African American Epistasis, Genetic Humans Algorithms Pregnancy Female
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Representation Learning by Rotating Your Faces.

IEEE transactions on pattern analysis and machine intelligence Sep 3, 2018
The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant represe...
Image Processing, Computer-Assisted Rotation Face Pattern Recognition, Automated Biometric Identification Machine Learning Algorithms Female Male Humans
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Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.

IEEE journal of biomedical and health informatics Sep 3, 2018
Parkinson's disease (PD) is a neurodegenerative progressive disease that mainly affects the motor systems of patients. To slow this disease deterioration, early and accurate diagnosis of PD is an effective way, which alleviates mental and physical su...
Parkinson Disease Multimodal Imaging Image Interpretation, Computer-Assisted Diffusion Tensor Imaging Humans Female Machine Learning Aged Algorithms Male Brain Middle Aged ROC Curve
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Decision Support Techniques Prospective Studies Female Adult Male Liver Cirrhosis Middle Aged Humans Support Vector Machine Ultrasonography Neural Networks, Computer Decision Trees ROC Curve Machine Learning Area Under Curve Logistic Models Algorithms Hepatitis B, Chronic
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