Logistic Regression Models in Obstetrics and Gynecology Literature [PDF]
Khalid S. Khan+2 more
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Sentiment Analysis of National Health Security Mobile Application Review Using Machine Learning
It is widely acknowledged that digital transformation provides the opportunity for business process improvements. We can see many businesses, specifically in Indonesia's private and public sectors, leveraging technology to provide better service to their
Deta Novian Anantika Putra
doaj +1 more source
Hierarchical logistic regression models for clustered binary outcomes in studies of IVF-ET [PDF]
Joseph W. Hogan, Andrew S. Blazar
openalex +1 more source
Objective To screen the risk factors of hydrocephalus after decompressive craniectomy in patients with cerebral hernia after traumatic brain injury (TBI), and construct a Bayesian network model based on the risk factors.
TAN Bo+5 more
doaj +1 more source
Comparison of ‘pattern recognition’ and logistic regression models for discrimination between benign and malignant pelvic masses: a prospective cross validation [PDF]
L. Valentin+3 more
openalex +1 more source
Logistic or Cox model to identify risk factors of nosocomial infection: still a controversial issue [PDF]
Sylvie Chevret
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The hidden logistic regression model [PDF]
Rousseeuw, Peter J., Christmann, Andreas
openaire +4 more sources
Modelo preditivo ao abandono do tratamento da tuberculose
Objetivou-se construir um modelo preditivo tomando como variáveis explicativas as características dos indivíduos com tuberculose para definir o tratamento mais adequado. Pesquisa do tipo observacional descritiva, de abordagem quantitativa.
Eveline de Almeida Silva+2 more
doaj +1 more source
Robust inference for generalized linear models with application to logistic regression [PDF]
Gianfranco Adimari, Laura Ventura
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Logistics Regression Model for Differentially-Private Matrix Masked Data [PDF]
A recently proposed scheme utilizing local noise addition and matrix masking enables data collection while protecting individual privacy from all parties, including the central data manager. Statistical analysis of such privacy-preserved data is particularly challenging for nonlinear models like logistic regression. By leveraging a relationship between
arxiv