UroToday

Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor ...

Whether to perform concurrent anti-incontinence surgery (AIS) during pelvic floor reconstruction (PFR) remains controversial. Traditional logistic regression (LR) models for predicting postoperative ...
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.
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 ...
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 ...
ahajournals.org

Functional Access to Public Defibrillators and Out‐of‐Hospital Cardiac Arrest Outcomes: A Population‐Based Geospatial Analysis in Korea

Although public access defibrillation programs have expanded, real‐world bystander automated external defibrillator (AED) use remains limited. The concept of functional accessibility, the realistic ...
Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
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 ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
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 ...