AI Medical Compendium Topic:
Logistic Models

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Statistical thinking, machine learning.

Journal of clinical epidemiology Aug 16, 2019
Machine Learning Logistic Models Artificial Intelligence
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Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important).

Journal of clinical epidemiology Aug 16, 2019
Machine Learning Algorithms Logistic Models Biometry
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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.

BMJ open Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Aged Aged, 80 and over Young Adult Adult Electronic Health Records Female Sweden Emergency Service, Hospital Registries Patient Discharge Mortality Male Middle Aged Humans Time Factors Machine Learning Logistic Models Retrospective Studies
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Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.

Journal of critical care Aug 5, 2019
PURPOSE: To compare twenty-two machine learning (ML) models against logistic regression on survival prediction in severe traumatic brain injury (STBI) patients in a single center study.
Cross-Sectional Studies Middle Aged Logistic Models Brain Injuries, Traumatic Area Under Curve Machine Learning Algorithms Humans Prognosis Female
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Predicting death by suicide using administrative health care system data: Can feedforward neural network models improve upon logistic regression models?

Journal of affective disorders Jul 30, 2019
BACKGROUND: Suicide is a leading cause of death worldwide. With the increasing volume of administrative health care data, there is an opportunity to evaluate whether machine learning models can improve upon statistical models for quantifying suicide ...
Female Logistic Models Humans Male Neural Networks, Computer Predictive Value of Tests Risk Assessment Machine Learning Suicide
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Journal of biomedical informatics Jul 30, 2019
AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical softwa...
Support Vector Machine Longitudinal Studies Models, Statistical Decision Trees Risk Factors Computational Biology Logistic Models Area Under Curve Neural Networks, Computer Supervised Machine Learning Algorithms Humans Coronary Disease Databases, Factual Prospective Studies
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[Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil].

Cadernos de saude publica Jul 29, 2019
This study aims to present the stages related to the use of machine learning algorithms for predictive analyses in health. An application was performed in a database of elderly residents in the city of São Paulo, Brazil, who participated in the Healt...
Logistic Models Death Middle Aged Risk Assessment Brazil Machine Learning ROC Curve Aged Algorithms Sensitivity and Specificity Humans Prognosis Male Female
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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Humans Machine Learning Forecasting Republic of Korea Female Adult Logistic Models Environmental Pollutants Hypercholesterolemia Support Vector Machine Environmental Exposure Male Lead Mercury Middle Aged Decision Trees Cadmium ROC Curve
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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases Jul 21, 2019
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
ROC Curve Logistic Models Predictive Value of Tests Models, Biological APACHE Humans Pancreatitis Neural Networks, Computer Intraabdominal Infections Prognosis Adult Retrospective Studies Female Risk Factors Male Middle Aged Severity of Illness Index
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Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.

Journal of proteome research Jul 17, 2019
Deep learning (DL), a type of machine learning approach, is a powerful tool for analyzing large sets of data that are derived from biomedical sciences. However, it remains unknown whether DL is suitable for identifying contributing factors, such as b...
Logistic Models Proteomics Support Vector Machine Mass Spectrometry Machine Learning Algorithms Deep Learning Cluster Analysis Pancreatic Neoplasms Bayes Theorem Humans
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