Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Scientific Research Publishing

Yoon, J. (2020) Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach. Computational Economics, 57, 247-265.

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
Frontiers

Interpretable machine learning model for comparing and validating three diagnostic criteria for bronchopulmonary dysplasia in predicting value of respiratory prognosis of ...

1 Department of Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children’s Hospital Affiliated to Zhengzhou University, Zhengzhou, China 2 Henan Provincial Clinical ...
GamesIndustry

The Steam Machine could be an industry turning point | Opinion

I've never liked the term "console war". Leaving aside the questionable taste of aligning consoles with conflict, the war metaphor doesn't really work for the contest between platform holders. This ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
Frontiers

Development and validation of a successful aging prediction model for older adults in China based on health ecology theory

Background and aim: Accelerated aging poses significant physical, psychological, and social health challenge to Chinese. Successful aging (SA) serves as a proactive approach to population aging, ...