Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

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 ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

Adam Aleksic, who posts as Etymology Nerd on social media, argues in a new book that algorithms are reshaping the English language. Credit...Peter Garritano for The New York Times Supported by By ...