Results 91 to 100 of about 1,559,667 (221)

Logistic Regression Models in Obstetrics and Gynecology Literature [PDF]

open access: bronze, 1999
Khalid S. Khan   +2 more
openalex   +1 more source

Sentiment Analysis of National Health Security Mobile Application Review Using Machine Learning

open access: yesJurnal Jaminan Kesehatan Nasional
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

Risk factors analysis and Bayesian network model construction of hydrocephalus after decompressive craniectomy in patients with cerebral hernia after traumatic brain injury

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery
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

The hidden logistic regression model [PDF]

open access: yesResearch Papers in Economics, 2001
Rousseeuw, Peter J., Christmann, Andreas
openaire   +4 more sources

Modelo preditivo ao abandono do tratamento da tuberculose

open access: yesSaúde em Debate
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

Logistics Regression Model for Differentially-Private Matrix Masked Data [PDF]

open access: yesarXiv
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  

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