AIMC Topic: Female

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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Alanine Transaminase Aspartate Aminotransferases Liver Function Tests Cohort Studies Diabetes Mellitus, Type 2 Health Status Fatty Liver Decision Trees Logistic Models Supervised Machine Learning Liver Cirrhosis Non-alcoholic Fatty Liver Disease Hepatitis Humans Biomarkers Electronic Health Records Female Risk Factors Aged Male Middle Aged Disease Progression Case-Control Studies
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Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that are increasingly recognized for their impact on health outcomes. We describe ongoing research to extract SBDH related to sexual health from clinical doc...
Social Determinants of Health Health Risk Behaviors Sexual Health Humans Natural Language Processing Electronic Health Records Supervised Machine Learning Female Documentation Male
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Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
Electronic Health Records Female Adult Male United States Humans Machine Learning United States Department of Veterans Affairs Models, Statistical Veterans Databases as Topic Veterans Health Ill-Housed Persons Management Information Systems Medical Record Linkage
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A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning per...
Predictive Value of Tests Natural Language Processing Area Under Curve Supervised Machine Learning Unified Medical Language System Radiography, Thoracic Middle Aged Diagnosis, Computer-Assisted Female Length of Stay Risk Factors Cohort Studies Aged Humans Respiratory Distress Syndrome Adult Electronic Health Records Male
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Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

PloS one Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
False Negative Reactions False Positive Reactions Prenatal Diagnosis Trisomy 13 Syndrome Trisomy 18 Syndrome Sequence Analysis, DNA Diagnosis, Differential Genetic Testing High-Throughput Nucleotide Sequencing Down Syndrome Humans Machine Learning Retrospective Studies Pregnancy Female Young Adult Adult Diagnosis, Computer-Assisted Support Vector Machine
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Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The Journal of surgical research Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Humans Retrospective Studies Female Sensitivity and Specificity Patient Selection Child Male Survival Analysis Blood Transfusion Risk Assessment Hemorrhage Brain Injuries, Traumatic Adolescent Injury Severity Score Predictive Value of Tests Time Factors Registries Child, Preschool
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Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Echocardiography (Mount Kisco, N.Y.) Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Humans Retrospective Studies Female Reproducibility of Results Risk Factors Deep Learning Cohort Studies Hospital Mortality Predictive Value of Tests Heart Heart Diseases Aged Male Echocardiography Middle Aged Risk Assessment
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Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

Journal of healthcare engineering Dec 4, 2018
The sonogram is currently an effective cancer screening and diagnosis way due to the convenience and harmlessness in humans. Traditionally, lesion boundary segmentation is first adopted and then classification is conducted, to reach the judgment of b...
Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning Ultrasonography, Mammary Breast Humans Algorithms
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Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.

PloS one Dec 4, 2018
OBJECTIVE: Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to...
Adult Cross-Sectional Studies Male Middle Aged Cohort Studies Humans Machine Learning Biomarkers Female Risk Factors Autoantibodies Rheumatoid Factor Arthritis Ultrasonography Protein Carbamylation Logistic Models Anti-Citrullinated Protein Antibodies Decision Trees Lupus Erythematosus, Systemic
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Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.

Journal of neural engineering Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
Brain-Computer Interfaces Evoked Potentials, Visual Algorithms Photic Stimulation Female Visual Prosthesis Male Humans Young Adult Fixation, Ocular Robotics Adult Electroencephalography Biomechanical Phenomena Healthy Volunteers Arm
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