In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

An algorithm that reads CT reports can spot and categorize complications of diverticulitis and help predict which patients are likely to have a recurrent episode.

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

A comprehensive web-based platform for dengue fever surveillance, prediction, and monitoring using advanced machine learning algorithms and real-time data visualization. DEN-Smart is an intelligent ...

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...

Abstract: Dengue remains a major public health challenge in tropical regions such as Sri Lanka, where early identification of severe dengue is critical to reducing mortality and optimizing resource ...

Devaughn Vele has earned the trust of Tyler Shough and gets a good matchup in Week 14. Kenneth Richmond / Getty Images Though they’re ultimately two different lenses, sports betting can provide some ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...