AIMC Topic: Regression Analysis

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Anastomotic Leak is Increased With Infection After Colectomy: Machine Learning-Augmented Propensity Score Modified Analysis of 46 735 Patients.

The American surgeon Dec 24, 2020
BACKGROUND: infection (CDI) is now the most common cause of healthcare-associated infections, with increasing prevalence, severity, and mortality of nosocomial and community-acquired CDI which makes up approximately one third of all CDI. There are a...
Machine Learning Female Male Middle Aged Case-Control Studies Length of Stay Regression Analysis Colectomy Humans Asymptomatic Infections Clostridioides difficile Community-Acquired Infections Anastomotic Leak Cross Infection Clostridium Infections Propensity Score
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Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Nutrients Dec 10, 2020
Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, as they are inexpensive, easily implemented and provide useful information regarding dietary intake. They are usually carefully drafted by experts from...
Diet Surveys Clinical Decision Rules Machine Learning Regression Analysis Female Humans Predictive Value of Tests Reproducibility of Results Diet, Healthy Adult Male Nutrition Assessment Diet Surveys and Questionnaires
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Predictors of Stroke Outcome Extracted from Multivariate Linear Discriminant Analysis or Neural Network Analysis.

Journal of atherosclerosis and thrombosis Dec 9, 2020
AIM: The prediction of functional outcome is essential in the management of acute ischemic stroke patients. We aimed to explore the various prognostic factors with multivariate linear discriminant analysis or neural network analysis and evaluate the ...
Ischemic Stroke Discriminant Analysis Alkaline Phosphatase Nutritional Status Middle Aged Regression Analysis Recovery of Function Predictive Value of Tests Multivariate Analysis Machine Learning Prognosis Retrospective Studies Humans Female Neural Networks, Computer Risk Factors Aged Aged, 80 and over Male
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miRNA-Based Feature Classifier Is Associated with Tumor Mutational Burden in Head and Neck Squamous Cell Carcinoma.

BioMed research international Dec 9, 2020
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict the tumor patient's response to immune checkpoint inhibitors (ICIs). Meanwhile, microRNA (miRNA) plays a key role in regulating the anticancer immune re...
Immunotherapy Aged Squamous Cell Carcinoma of Head and Neck Humans Regression Analysis Head and Neck Neoplasms Machine Learning Biomarkers, Tumor Mutation MicroRNAs Male Female Middle Aged
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Nonparametric variable importance assessment using machine learning techniques.

Biometrics Dec 8, 2020
In a regression setting, it is often of interest to quantify the importance of various features in predicting the response. Commonly, the variable importance measure used is determined by the regression technique employed. For this reason, practition...
Machine Learning Risk Factors Cardiovascular Diseases Regression Analysis Humans
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Predicting cryptic ligand binding sites based on normal modes guided conformational sampling.

Proteins Dec 5, 2020
To greatly expand the druggable genome, fast and accurate predictions of cryptic sites for small molecules binding in target proteins are in high demand. In this study, we have developed a fast and simple conformational sampling scheme guided by norm...
Receptors, Cytoplasmic and Nuclear Binding Sites Coronavirus 3C Proteases Computational Biology Coronavirus Papain-Like Proteases Antigens, Neoplasm Interleukin-2 Karyopherins Hepacivirus Models, Statistical Algorithms Protein Tyrosine Phosphatase, Non-Receptor Type 1 Ligands Humans Regression Analysis Reproducibility of Results Exportin 1 Protein Machine Learning Elasticity Area Under Curve SARS-CoV-2 Protein Conformation Antigens, CD ROC Curve Molecular Dynamics Simulation
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Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.

BMC medical research methodology Dec 3, 2020
BACKGROUND: Accurate forecasting model for under-five mortality rate (U5MR) is essential for policy actions and planning. While studies have used traditional time series modeling techniques (e.g., autoregressive integrated moving average (ARIMA) and ...
Nigeria Incidence Models, Statistical Regression Analysis Humans Neural Networks, Computer Forecasting Seasons
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Multi-objective regression test suite optimization using three variants of adaptive neuro fuzzy inference system.

PloS one Dec 3, 2020
In the process of software development, regression testing is one of the major activities that is done after making modifications in the current system or whenever a software system evolves. But, the test suite size increases with the addition of new...
Heuristics Models, Theoretical Fuzzy Logic Algorithms Regression Analysis Reproducibility of Results
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A random forest based biomarker discovery and power analysis framework for diagnostics research.

BMC medical genomics Nov 23, 2020
BACKGROUND: Biomarker identification is one of the major and important goal of functional genomics and translational medicine studies. Large scale -omics data are increasingly being accumulated and can provide vital means for the identification of bi...
Workflow Regression Analysis Lipidomics Decision Trees Computer Simulation Humans Sample Size Datasets as Topic Machine Learning Transcriptome Algorithms Molecular Diagnostic Techniques Biomarkers Metabolomics
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New Insights Into Learning With Correntropy-Based Regression.

Neural computation Oct 20, 2020
Stemming from information-theoretic learning, the correntropy criterion and its applications to machine learning tasks have been extensively studied and explored. Its application to regression problems leads to the robustness-enhanced regression para...
Machine Learning Algorithms Regression Analysis
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