AI Medical Compendium Topic:
Logistic Models

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Prediction of cold and heat patterns using anthropometric measures based on machine learning.

Chinese journal of integrative medicine Dec 29, 2016
OBJECTIVE: To examine the association of body shape with cold and heat patterns, to determine which anthropometric measure is the best indicator for discriminating between the two patterns, and to investigate whether using a combination of measures c...
Humans Machine Learning Female Male Logistic Models Anthropometry Cold Temperature Hot Temperature
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Impact of chromogranin A, differentiation, and mitoses in nonfunctional pancreatic neuroendocrine tumors ≤ 2 cm.

The Journal of surgical research Dec 29, 2016
BACKGROUND: Small pancreatic neuroendocrine tumors (PNETs) are a unique subset of pancreatic neoplasms. Chromogranin A (CgA) levels, mitotic rate, and histologic differentiation are often used to characterize PNET behavior. This study evaluates the i...
Aged Aged, 80 and over Young Adult Adult Biomarkers, Tumor Survival Analysis Male Multivariate Analysis Humans Propensity Score Databases, Factual Chromogranin A Prognosis Mitosis Retrospective Studies Neuroendocrine Tumors Middle Aged Female Adolescent Logistic Models Pancreatic Neoplasms Cell Differentiation Neoplasm Staging
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High Amounts of Sitting, Low Cardiorespiratory Fitness, and Low Physical Activity Levels: 3 Key Ingredients in the Recipe for Influencing Metabolic Syndrome Prevalence.

American journal of health promotion : AJHP Dec 22, 2016
PURPOSE: Limited research has evaluated the independent and additive associations of moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and cardiorespiratory fitness (CRF) with metabolic syndrome, which was the purpose of this st...
Nutrition Surveys Male Exercise Test Metabolic Syndrome Humans Middle Aged Lipids Female Exercise Blood Pressure Adiposity Young Adult Prevalence Oxygen Consumption Cardiorespiratory Fitness Adult Blood Glucose Accelerometry Cross-Sectional Studies Logistic Models Sedentary Behavior Sitting Position
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Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

Cardiovascular revascularization medicine : including molecular interventions Dec 16, 2016
BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heightened concerns regarding physician radiation exposure. This study evaluated the impact of a suspended lead suit and robotic system on physician radiatio...
Radiation Monitoring Radiation Protection Protective Clothing Radiation Dosimeters Radiation Dosage Multivariate Analysis Radiography, Interventional Thorax Radiation Exposure Risk Factors Risk Assessment Time Factors Occupational Exposure Humans Logistic Models Robotics Physicians Lead Coronary Angiography Prospective Studies Equipment Design Percutaneous Coronary Intervention Linear Models Head
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The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching.

Statistical methods in medical research Dec 15, 2016
Consistency of the propensity score estimators rely on correct specification of the propensity score model. The propensity score is frequently estimated using a main effect logistic regression. It has recently been shown that the use of ensemble mach...
Humans Machine Learning Algorithms Computer Simulation Logistic Models Propensity Score
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Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PloS one Dec 9, 2016
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research w...
Adult Cross-Sectional Studies Male Middle Aged Comorbidity Depression Humans Machine Learning Female Gastrointestinal Diseases Depressive Disorder Logistic Models Community Networks Nutrition Surveys Cluster Analysis Population Surveillance Self Report
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Ileostomy creation in colorectal cancer surgery: risk of acute kidney injury and chronic kidney disease.

The Journal of surgical research Nov 29, 2016
BACKGROUND: Ileostomy creation is associated with postoperative dehydration and readmission; however, the effect on renal function is unknown. Our goal was to characterize the impact of ileostomy creation on acute and chronic renal function.
Postoperative Complications Logistic Models Renal Insufficiency, Chronic Treatment Outcome Follow-Up Studies Patient Readmission Proportional Hazards Models Propensity Score Ileostomy Aged Humans Aged, 80 and over Retrospective Studies Adult Acute Kidney Injury Colorectal Neoplasms Female Male Risk Factors Middle Aged
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Humans Machine Learning Algorithms Treatment Outcome Multivariate Analysis Male Cause of Death Databases, Factual Propensity Score Middle Aged Female Registries Likelihood Functions Hospitals Risk Factors Massachusetts Percutaneous Coronary Intervention Time Factors Aged Process Assessment, Health Care Data Mining Hospital Mortality Aged, 80 and over Quality Indicators, Health Care Logistic Models
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Logistic Models Predictive Value of Tests Area Under Curve Heart Failure Data Mining Early Diagnosis Pennsylvania Male Risk Assessment Case-Control Studies Incidence Time Factors ROC Curve Machine Learning Prognosis Humans Electronic Health Records Female Risk Factors
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Time Factors Logistic Models Support Vector Machine Randomized Controlled Trials as Topic Heart Failure Data Mining Risk Factors Aged Male Middle Aged Risk Assessment Telemedicine Patient Readmission Nonlinear Dynamics Humans Algorithms Databases, Factual Female Reproducibility of Results
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