AIMC Topic: Logistic Models

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Metabolic acidosis of chronic kidney disease and subclinical cardiovascular disease markers: Friend or foe?

Medicine Nov 1, 2017
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. Therefore, we aimed to study this relationship in nondialysis CKD patients.This cross-sectional, single-c...
Bicarbonates Middle Aged Vascular Calcification Logistic Models Renal Insufficiency, Chronic Ankle Brachial Index Risk Factors Humans Glomerular Filtration Rate Carotid Intima-Media Thickness Aged Cholesterol Prospective Studies Phosphates Cross-Sectional Studies Triglycerides Biomarkers Male Acidosis Cardiovascular Diseases Female
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Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
Gene Expression Biopsy ROC Curve Logistic Models Sequence Analysis, RNA Aged Idiopathic Pulmonary Fibrosis Aged, 80 and over Diagnosis, Differential Young Adult Adult Sensitivity and Specificity Male Middle Aged Lung Adolescent Cohort Studies Humans Machine Learning Tomography, X-Ray Computed Female
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Calibration drift in regression and machine learning models for acute kidney injury.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
Humans Machine Learning Decision Support Techniques Middle Aged Acute Kidney Injury Clinical Decision-Making Logistic Models Female United States Aged Bayes Theorem Male Hospitals, Veterans
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Machine Learning ROC Curve Logistic Models United States Models, Theoretical Adverse Drug Reaction Reporting Systems Support Vector Machine Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration
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Demonstration of the Safety and Feasibility of Robotically Assisted Percutaneous Coronary Intervention in Complex Coronary Lesions: Results of the CORA-PCI Study (Complex Robotically Assisted Percutaneous Coronary Intervention).

JACC. Cardiovascular interventions Jul 10, 2017
OBJECTIVES: The aims of this study were to evaluate the feasibility and technical success of robotically assisted percutaneous coronary intervention (R-PCI) for the treatment of coronary artery disease (CAD) in clinical practice, especially in comple...
Registries Fluoroscopy Percutaneous Coronary Intervention Coronary Artery Disease Feasibility Studies Time Factors Logistic Models Treatment Outcome Robotics Coronary Angiography Stents Chi-Square Distribution Radiation Dosage Radiography, Interventional Propensity Score Humans Female Aged Male Middle Aged Case-Control Studies
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Inverse estimation of multiple muscle activations based on linear logistic regression.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2017
This study deals with a technology to estimate the muscle activity from the movement data using a statistical model. A linear regression (LR) model and artificial neural networks (ANN) have been known as statistical models for such use. Although ANN ...
Electromyography Models, Biological Linear Models Adult Task Performance and Analysis Male Logistic Models Muscle, Skeletal Humans Signal Processing, Computer-Assisted Neural Networks, Computer Young Adult
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Using recurrent neural network models for early detection of heart failure onset.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2017
OBJECTIVE: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods th...
Early Diagnosis Humans Neural Networks, Computer Machine Learning Electronic Health Records Logistic Models Support Vector Machine Area Under Curve Heart Failure
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An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine Feb 1, 2017
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...
Socioeconomic Factors Health Status Maternal Exposure Heart Defects, Congenital Reproductive History Adult Sensitivity and Specificity Diet Case-Control Studies Logistic Models Humans Neural Networks, Computer Pregnancy Female Risk Factors
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Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.

AIDS and behavior Feb 1, 2017
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predicting HIV testing uptake among substance users in substance use disorder treatment programs by applyin...
Humans Machine Learning Female Male Comorbidity Condoms Safe Sex Substance-Related Disorders Self Efficacy HIV Infections Sexual Behavior Logistic Models Counseling United States Attitude to Health Mass Screening Drug Users
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Prevalence of cytomegalovirus disease in kidney transplant patients in an intensive care unit.

Revista Brasileira de terapia intensiva Jan 1, 2017
OBJECTIVES: To define the frequency of cytomegalovirus disease among kidney transplant patients in an intensive care unit in which this complication was suspected and to identify predisposing factors and their possible impact on clinical outcome.
Cytomegalovirus Cytomegalovirus Infections Intensive Care Units Polymerase Chain Reaction Middle Aged Humans Antilymphocyte Serum Female Prevalence Kidney Transplantation Aged Time Factors Retrospective Studies Adult Logistic Models Male Immunosuppressive Agents
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