Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Abstract: This study aimed to evaluate the performance of the XGBoost algorithm and identify the most significant features in predicting three infectious diseases based on specific geographic clusters ...

I’m currently experiencing a return to fiction. It started last year, after spending the better part of the decade deep in the world of nonfiction: mostly memoirs, essays and hard-to-categorize books ...