Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
ahajournals.org

Abstract 4346161: Using an Algorithm-based Decision Support Tool to Identify the Most Likely Source of Dyspnea in Patients With Heart Failure Presenting to the Emergency Department

Background: Dyspnea is a common yet diagnostically challenging complaint at emergency department (ED) triage, particularly in patients with heart failure (HF). We sought to develop an algorithm-based ...
BMJ

Burden of abnormal nutritional indices among women aged 15–24 years in 40 low-income and middle-income countries: a multilevel multinomial logistic regression analysis

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
GitHub

multinomial-logistic-regression

This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...
Scientific Research Publishing

Naqvi, S.M.F. (2025) AI in Education: Personalized Learning Platforms in 2025. eLearning Industry.

ABSTRACT: School career guidance plays a fundamental role in the educational success and professional integration of learners. In a context marked by the massification of education and the growing ...
Frontiers

Prediction tool for discharge disposition and 30-day readmission using electronic health records among patients hospitalized for traumatic brain injury

Background: Traumatic brain injury (TBI) is one of the most common and complex neurological conditions. Many TBI patients require ongoing rehabilitation beyond acute care, making treatment and ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
Frontiers

Monitoring pilots’ mental workload in real flight conditions using multinomial logistic regression with a ridge estimator

Piloting an aircraft is a cognitive task that requires continuous verbal, visual, and auditory attentions (e.g., Air Traffic Control Communication). An increase or decrease in mental workload from a ...
UroToday

Novel risk factors for venous thromboembolism following outpatient or inpatient transurethral resection of bladder tumors: Multivariable stepwise and LASSO regression modeling ...

Transurethral resection of the bladder tumor (TURBT) is a standard procedure in bladder cancer (BC), which is associated with low risk of venous thrombo-embolism (VTE). The aim of this study was to ...
GitHub

arnobotha/LifetimePD-TermStructure-Multistate

The lifetime behaviour of loans is notoriously difficult to model, which can compromise a bank's financial reserves against future losses, if modelled poorly. Therefore, we present a data-driven ...