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Impact Feature Vectorization Methods on Arabic Large Data Using Logistic Regression Classification

Ali Shafah, Ahmed A. Suleiman, Samira Alshafah   +2 more
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Logistic Regression and Machine Learning Algorithms for the Risk Prediction of Perioperative Adverse Cardiovascular Events in Elderly Patients. [PDF]

Aging Med (Milton)
Li XY, Duan GY, Li L, Gao YY, Sun LW, Zhu S, Diao X, Wang N, Huang H.   +8 more
europepmc   +1 more source

Federated Logistic Regression with Enhanced Privacy: A Dynamic Gaussian Perturbation Approach via ADMM from an Information-Theoretic Perspective. [PDF]

Entropy (Basel)
Yuan J, Wang Y, Ma H, Liu W.
europepmc   +1 more source

Multinomial logistic regressions predicting class membership in the COVID-19 panel study for the latent class model that is one class smaller than the chosen number of latent classes.

Htay-Wah Saw (11027552), Arie Kapteyn (7239449)   +1 more
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Factors related to sleep quality in the adult population of Shahroud; Comparison of adjusted distributional and multivariable logistic regression analysis. [PDF]

Glob Epidemiol
Golbabaei Pasandi H, Khosravi A, Emamian MH, Mousavi SA, Hashemi H, Fotouhi A.   +5 more
europepmc   +1 more source

Analysis of Suspected Factors in Tuberculosis Cases in Semarang City Using a Logistic Regression Model

Ihsan Fathoni Amri, Febrian Hikmah Nur Rohim, Muhammad Ivan Ardiansyah, Farid Sam Saputra, Supriyanto, Ariska Fitriyana Ningrum, Arman Mohammad Nakib   +6 more
openalex   +2 more sources

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Logistic Regression

Journal of Personality Assessment, 1997
Logistic regression has probably been underutilized in clinical investigations of personality because of its relatively recent development (dictated by the need for computer programs to obtain maximum likelihood estimates), and the fact that use has been largely confined to the fields of biostatistics, epidemiology, and economics Its use should be ...
L J, Davis, K P, Offord
openaire   +2 more sources