Application of regularized covariance matrices in logistic regression and portfolio optimization. [PDF]
Sun F, Huang X.
europepmc +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
Development and validation of a nomogram based on LASSO-logistic regression for predicting carotid atherosclerosis in patients with hypertension. [PDF]
Cao XF +5 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Analysis of determinants of pre-diabetes and diabetes among Bangladeshi adults: an application of multinomial logistic regression model. [PDF]
Kundu LR, Majumder AK.
europepmc +1 more source
Investigation of depressive symptoms after thyroid cancer surgery: Logistic regression analysis and adjustment strategy. [PDF]
Xie Q +5 more
europepmc +1 more source
Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models. [PDF]
Shang P, Liu Q, Mu H, Yang H, Jia J.
europepmc +1 more source
Robust Cancer Biomarker Identification From Matched Transcriptomic Data Via Bootstrapped Regularized Conditional Logistic Regression. [PDF]
Wang JH, Wu ZH, Lu HC, Guo TY.
europepmc +1 more source
A Proactive Health Behavior Framework for Cognitive Impairment in Chinese Older Adults: Based on a Four-Factor and Logistic Regression Analysis. [PDF]
Wang S, Liang H.
europepmc +1 more source

