BMJ Global Health

Prevalence, spatial and temporal distribution of tungiasis in the Kilifi Health and Demographic Surveillance System (KHDSS) in Kenya

Introduction Tungiasis is a highly neglected tropical disease of the skin caused by an embedded female sand flea affecting ...
BMJ Global Health

Untreated, uncontrolled and below-target hypertension in southern Africa: a population-based prevalence and care cascade assessment in rural Lesotho

Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
IEEE

Study on the influence factors of highway bridge and tunnel ratio on accident severity based on polynomial logistic regression analysis

Abstract: Based on multiple logistic regression analysis theory, this paper investigates the factors influencing the severity of accidents on high bridge and tunnel ratio highways. The accident ...
BMJ

Predictive value of novel inflammatory markers combined with GRACE score for in-hospital outcome in patients with ST-segment elevation myocardial infarction: a retrospective ...

5 The Third Central Clinical College of Tianjin Medical University, Tianjin, China Objectives To assess the prognostic efficacy of innovative inflammatory indicators, specifically the ...
BGR

28 Days Later's Multiple Alternate Endings Explained

"28 Days Later" reinvented the genre by stripping it down to its rawest fears. At first glance, it's like Zack Snyder's "Dawn of the Dead", with hostile hordes and societal collapse. Yet its monsters ...
Hosted on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning ...
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 ...
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 ...
Scientific Research Publishing

Menard, S. (2002). Applied Logistic Regression Analysis (2nd ed.). Sage Publications.

ABSTRACT: This study investigates retirement planning strategies and financial literacy among formal sector employees at Zambia’s Food Reserve Agency (FRA). Using a quantitative approach, the research ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...