Opinion
The LancetOpinion

Surveillance epidemiology of heatstroke in China: when numerators are denominators

In the age of big data, surveillance systems capture vast amounts of information, but the bottleneck lies in interpretation for timely public health action. Heatstroke is a textbook example of ...
Tech Xplore

New training method helps AI models handle messy, varied medical image data

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...
ahajournals.org

Short-Term Extreme Temperatures, Temperature Fluctuations, and the Risk of Aneurysmal Subarachnoid Hemorrhage: A Nationwide Case-Crossover Study

Previous studies have shown inconsistent links between seasonal variation or ambient temperature and aneurysmal subarachnoid hemorrhage (aSAH) onset. Furthermore, the impact of short-term temperature ...
The BMJ

Greenness and hospital admissions for cause specific mental disorders: multicountry time series study

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to estimate greenness related hospital admissions under various greenness ...
The BMJ

Cause specific mortality risks associated with tropical cyclones in multiple countries and territories: two stage, time series study

Objective To characterise and quantify the mortality risks for a range of causes after tropical cyclones in nine countries and territories. Design Two stage, time series study. Setting Nine countries ...
BMJ

Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies

Objectives Assessment of Different NEoplasias in the adneXa (ADNEX) and Risk of Malignancy Index (RMI) are models that estimate the risk of malignancy in ovarian masses based on clinical and ...
Frontiers

The mediating role of internet use in the relationship between working hours and depressive symptoms: an analysis based on cross-lagged models

1 School of Labor Economics, Capital University of Economics and Business, Beijing, China 2 Business College of Beijing Union University, Beijing Union University, Beijing, China Background: Amidst ...
IEEE

Signal-Level Fusion-Based Height Estimation of Low-Elevation Target for Distributed Radar

Abstract: The height estimation of low-elevation targets is highly susceptible to multipath effects caused by ground reflections, leading to significant estimation errors. Distributed radar provides a ...
Scientific Research Publishing

Wang, J. (2021) Forecast GDP with Autoregressive Distributed Lag Model and Dynamic Factor Model.

ABSTRACT: The host country of the FIFA World Cup receives substantial economic benefits that have become recognized worldwide. This paper examines both immediate and sustained economic influences ...
Frontiers

Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study

Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. Levothyroxine (LT4) is the standard therapy; however, achieving clinical and biochemical euthyroidism ...