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Logistic Models

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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...
Patient Readmission Quebec Machine Learning Algorithms Female Risk Factors Sensitivity and Specificity Male Middle Aged Logistic Models Humans
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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...
Artificial Intelligence Algorithms Cross-Sectional Studies Logistic Models Humans Iran Support Vector Machine Bayes Theorem Coronary Angiography New Zealand
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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.
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Computational Biology Logistic Models Aged, 80 and over Male Middle Aged ROC Curve Prostate-Specific Antigen Neoplasm Grading Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Adenocarcinoma Area Under Curve Prostatic Neoplasms Neoplasm Staging Humans Machine Learning Aged
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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.
Female Sensitivity and Specificity Male Risk Assessment Humans Machine Learning Preventive Health Services Lead Poisoning Resource Allocation Child, Preschool Logistic Models United States Health Care Rationing
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A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

PloS one Aug 27, 2020
An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, numerous methods were developed for model selections in recent years. In the era of big data, machine ...
Lung Neoplasms Humans Machine Learning Logistic Models Algorithms Support Vector Machine
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A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.

PloS one Aug 27, 2020
Kawasaki disease is the leading cause of pediatric acquired heart disease. Coronary artery abnormalities are the main complication of Kawasaki disease. Kawasaki disease patients with intravenous immunoglobulin resistance are at a greater risk of deve...
Coronary Artery Disease Feasibility Studies Models, Biological Immunoglobulins, Intravenous Child, Preschool ROC Curve Logistic Models Mucocutaneous Lymph Node Syndrome Drug Resistance Machine Learning Male Retrospective Studies Risk Assessment Female Humans Infant Risk Factors China
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Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer.

Scientific reports Aug 21, 2020
Stratification of breast cancer (BC) into molecular subtypes by multigene expression assays is of demonstrated clinical utility. In principle, global RNA-sequencing (RNA-seq) should enable reconstructing existing transcriptional classifications of BC...
Receptors, Estrogen Recurrence Neoplasms, Hormone-Dependent Sequence Analysis, RNA Estrogens Carcinoma Datasets as Topic Female Humans Breast Neoplasms Machine Learning Biomarkers, Tumor Prognosis Logistic Models
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A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.

Medical & biological engineering & computing Aug 17, 2020
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by characterizing the relationships between the characteristic factors and predictors. This study aims to assess ...
Machine Learning Databases, Factual Female Aged Young Adult Adult Male Middle Aged Humans Sleep Apnea, Obstructive Diagnosis, Computer-Assisted Wakefulness Adolescent Breath Tests Logistic Models Trachea Signal Processing, Computer-Assisted
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Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma.

Surgery Aug 11, 2020
BACKGROUND: Posthepatectomy liver failure is a worrisome complication after major hepatectomy for hepatocellular carcinoma and is the leading cause of postoperative mortality. Recommendations for hepatectomy for hepatocellular carcinoma are based on ...
Logistic Models Hepatectomy Liver Failure Humans Postoperative Complications Neural Networks, Computer Liver Neoplasms Female Carcinoma, Hepatocellular Aged Adult Male Middle Aged Risk Assessment
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