Results 71 to 80 of about 118,919 (305)

UTILIZING MULTINOMIAL LOGISTIC REGRESSION FOR DETERMINING THE FACTORS INFLUENCING BLOOD PRESSURE

Science Journal of University of Zakho
The aim of this study is to investigate the practical application of the Multinomial (many explanatory variables and many categories) Logistic Regression (MLR) model, which is a fundamental tool for analyzing not only for scale data but also for ...
Azad A. Shareef, Sherzad M. Ajeel, Hussein A. Hashem   +2 more
doaj   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Partitioned conditional generalized linear models for categorical data [PDF]

, 2014
In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formally defined for only two or three levels in the hierarchy.
Guédon, Yann, Peyhardi, Jean, Trottier, Catherine   +2 more
core   +4 more sources

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Diagnostic profiles of acute abdominal pain with multinomial logistic regression

GMS Medizinische Informatik, Biometrie und Epidemiologie, 2007
Purpose: Application of multinomial logistic regression for diagnostic support of acute abdominal pain, a diagnostic problem with many differential diagnoses.
Ohmann, Christian, Franke, Claus, Yang, Qin, Decker, Franz, Verde, Pablo E.   +4 more
doaj  

Settlement Intention of Foreign Workers in Japan: Bayesian Multinomial Logistic Regression Analysis

Economies
This study examines the intentions of foreign workers living in Okayama, Japan, to stay long-term in Japan. Utilizing a Bayesian multinomial logistic regression model, this research provides a novel analytical approach that captures parameter uncertainty
Mi Moe Thuzar, Shyam Kumar Karki, Andi Holik Ramdani, Waode Hanifah Istiqomah, Tokiko Inoue, Chukiat Chaiboonsri   +5 more
doaj   +1 more source

Epidemiological pattern of trauma patients based on the mechanisms of trauma: trends of a regional trauma center in Midwest of Iran

BMC Emergency Medicine, 2022
Introduction Trauma is one of the important issues in public health because it is responsible for 90% of mortality in Low and Middle-Income Countries (LIMCs).
Ghodratollah Roshanaei, Sahar Khoshravesh, Sajjad Abdolmaleki, Tayebeh Bathaei, Mahnaz Farzian, Mohammadreza Saatian   +5 more
doaj   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Bias of using odds ratio estimates in multinomial logistic regressions to estimate relative risk or prevalence ratio and alternatives

Cadernos de Saúde Pública, 2014
Recent studies have emphasized that there is no justification for using the odds ratio (OR) as an approximation of the relative risk (RR) or prevalence ratio (PR).
Suzi Alves Camey, Vanessa Bielefeldt Leotti Torman, Vania Naomi Hirakata, Renan Xavier Cortes, Alvaro Vigo   +4 more
doaj   +1 more source