IEEE

Comparative Analysis of Flood Prediction Using Linear Regression

Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
BMJ Open

Psychological burden and its association with preferred form of psychological assistance of healthcare workers during the COVID-19 pandemic in China: a cross-sectional study

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
BMJ Open

Proportion and risk factors associated with ‘never been tested for HIV’ among women of reproductive age in Tanzania: evidence from the 2022 Tanzania Demographic and Health ...

Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...

Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...
IEEE

A New Three-Parameter Flexible Unit Distribution and Its Quantile Regression Model

Abstract: This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a unit domain and characterized by three parameters. The PUW distribution is capable of ...