Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci. [PDF]
Lu J+6 more
europepmc +1 more source
ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley +1 more source
Logistic regression analysis of pathological features of bone metastasis in colorectal cancer and related influencing factors after surgery. [PDF]
Tang QY, Yu W.
europepmc +1 more source
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah+4 more
wiley +1 more source
Assessment of malaria transmission in Kenya using multilevel logistic regression. [PDF]
Ayele DG+3 more
europepmc +1 more source
Access to Finance and Innovation in the Canadian Food Processing
ABSTRACT Innovation is a presumed channel through which finance affects productivity, yet there is limited research testing the relationship between finance and innovation in the food manufacturing sector. The purpose of the paper is to explore the determinants (e.g., financing, R&D, firm size, expenditure on innovation) of the adoption of innovation ...
Getu Hailu, Deepananda Herath
wiley +1 more source
Risk factor analysis for stunting incidence using sparse categorical principal component logistic regression. [PDF]
Islamiyati A+4 more
europepmc +1 more source
Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model. [PDF]
Luo X, Ying Y, Yin L, Chang P.
europepmc +1 more source
Logistic regression and artificial neural network classification models: a methodology review
Stephan Dreiseitl, Lucila Ohno‐Machado
openalex +1 more source