AIMC Topic: Logistic Models

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Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design.

Human factors Sep 28, 2020
OBJECTIVE: The goal of this study is to assess machine learning for predicting procedure performance from operator and procedure characteristics.
ROC Curve Humans Logistic Models Machine Learning Random Forest Algorithms
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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Odds Ratio Alcohol Drinking Medically Underserved Area Area Under Curve Middle Aged Asian People China Risk Factors Waist Circumference Surveys and Questionnaires Logistic Models Humans Aged Smoking Decision Making Diabetes Mellitus, Type 2 Machine Learning Adult Regression Analysis Algorithms Male Decision Trees Female
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Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.

Stroke Sep 18, 2020
BACKGROUND AND PURPOSE: Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility ...
Ischemic Attack, Transient Hemorrhagic Stroke Logistic Models Ischemic Stroke Electroencephalography Stroke Sensitivity and Specificity Male Female Middle Aged Deep Learning Aged Aged, 80 and over Humans Neural Networks, Computer
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Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.

Journal of neuroengineering and rehabilitation Sep 11, 2020
BACKGROUND: Parkinson's disease (PD) and essential tremor (ET) are movement disorders that can have similar clinical characteristics including tremor and gait difficulty. These disorders can be misdiagnosed leading to delay in appropriate treatment. ...
Machine Learning Retrospective Studies Male Wearable Electronic Devices Logistic Models Humans Essential Tremor Parkinson Disease Postural Balance Gait Gait Disorders, Neurologic
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Eye Neoplasms Retrospective Studies Female Melanoma Young Adult Adult Male Reproducibility of Results Aged Diagnosis, Differential Logistic Models Middle Aged Image Enhancement Humans Support Vector Machine Uveal Neoplasms Contrast Media Adolescent Uveal Melanoma Magnetic Resonance Imaging Child ROC Curve
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How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Sep 7, 2020
OBJECTIVES: Hospital readmission is a main cost driver for healthcare systems, but existing works often had poor or moderate predictive results. Although the available information differs in different studies, improving prediction is different from t...
Quebec Humans Sensitivity and Specificity Male Machine Learning Middle Aged Algorithms Logistic Models Female Patient Readmission Risk Factors
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Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.

International journal of environmental research and public health Sep 4, 2020
(1) Background: Coronary angiography is considered to be the most reliable method for the diagnosis of cardiovascular disease. However, angiography is an invasive procedure that carries a risk of complications; hence, it would be preferable for an ap...
Cross-Sectional Studies Logistic Models Humans Coronary Angiography Iran Support Vector Machine New Zealand Artificial Intelligence Bayes Theorem Algorithms
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Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2020
We consider the large sum of DC (Difference of Convex) functions minimization problem which appear in several different areas, especially in stochastic optimization and machine learning. Two DCA (DC Algorithm) based algorithms are proposed: stochasti...
Machine Learning Algorithms Logistic Models Stochastic Processes
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Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
ROC Curve Cone-Beam Computed Tomography Image Processing, Computer-Assisted Computational Biology Humans Neoplasm Staging Aged Machine Learning Prostate-Specific Antigen Aged, 80 and over Logistic Models Male Neoplasm Grading Adenocarcinoma Middle Aged Radiotherapy Planning, Computer-Assisted Area Under Curve Radiotherapy, Intensity-Modulated Prostatic Neoplasms
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Validation of a Machine Learning Model to Predict Childhood Lead Poisoning.

JAMA network open Sep 1, 2020
IMPORTANCE: Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention.
Preventive Health Services Lead Poisoning Resource Allocation Child, Preschool Logistic Models United States Health Care Rationing Humans Machine Learning Female Sensitivity and Specificity Male Risk Assessment
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