Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
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 ...
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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
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 ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
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