Open Heart

Impact of socioeconomic deprivation on early and long-term outcomes after major aortic surgery: insights from a 20-year single-centre cohort

Background Socioeconomic deprivation has been associated with adverse outcomes after aortic surgery, although evidence ...
Frontiers

A multivariable risk prediction model for pregnancies of uncertain viability without a fetal pole: a prospective cohort study

Pregnancy of uncertain viability affects up to 30% of early pregnancies. Among women presenting with per-vaginal bleeding and absence of a fetal pole, prognosis remains indeterminate. The lack of ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
Scientific Research Publishing

A Multivariable Predictive Model Based on LSTM Networks for Estimating Greenhouse Gas Emissions in the Mining Sector ()

This study presents an empirically validated multivariable predictive framework for estimating greenhouse gas emissions (GHG) in the mining sector using Long Short-Term Memory (LSTM) neural networks.
IEEE

Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability

Abstract: Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity ...
IEEE

A Logistic Regression Analysis of the Association between Smoking, Vaping, and Respiratory Diseases

Abstract: In this study, we analyzed the association between smoking, vaping, and chronic obstructive pulmonary disease (COPD) using self-reported data from the 2022 and 2023 Behavioral Risk Factor ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
ascopubs.org

Imaging- and Tumor Biomarker–Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer

Minimal Residual Disease Detection in Peripheral Blood of Patients With High-Risk Neuroblastoma Correlates With Outcome in the International GPOH-DCOG Prospective Validation Study This study included ...
ascopubs.org

Fifteen-Year National Trends in Single-Fraction Stereotactic Body Radiation Therapy Utilization for Stage I Non–Small Cell Lung Cancer

Osimertinib Versus First-Generation Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors for Metastatic EGFR-Mutant Non–Small Cell Lung Cancer: A Target Trial Emulation Study of Real-World ...
ahajournals.org

Abstract 4341365: Prediction of Aspiration Pneumonia After Cardiac Surgery Using Preoperative Oral Frailty: A Logistic Model

Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...