Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

The IMF Fiscal Affairs Department and the International Finance Corporation introduce the Reverse Method as a low-cost, ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A new paper reveals a fundamental reason why large language models (LLMs) generate false but confident statements, a phenomenon better known as “hallucination.” The research, titled “Why Language ...

Metabolomics has experienced significant growth and increased popularity due to technological advancements. We introduced an integrated tool for untargeted metabolomics analysis, SMART 1.0, that ...

ABSTRACT: Background: The present study showed a mathematical analysis of the spread of infectious diseases using the classical SEIR (Susceptible-Exposed-Infected-Recovered) model. The model is ...

Abstract: In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of ...

This study was carried out to statistically evaluate the performance of the PHYGROW model in simulating the growth of corn and sorghum plants in different locations in the semi-arid region of Ceará ...

量子デバイスでは校正されたアナログ信号が必要だが、校正に時間がかかる。そこで量子校正の厳密な統計的評価を可能にするために、統計的モデル検証(SMC)を用いることを提案。そのため ...

The overall goal of this challenge is to develop a methodology for estimating biomass burning emissions for given ranges of fire radiative power observations which will be available from small ...