Artificial intelligence is no longer simply helping cybercriminals work faster—it is increasingly becoming an active ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Background: This research addresses two questions: (1) how El Niño Southern Oscillation (ENSO) affects climate variability and how it influences dengue transmission in the Metropolitan Region of ...
Objective To determine how machine learning has been applied to prediction applications in population health contexts. Specifically, to describe which outcomes have been studied, the data sources most ...
A team of researchers at the Indian Institute of Engineering Science and Technology, Howrah, and the Indian Statistical Institute, Kolkata, has developed a mathematical model that uses local weather ...
1 Obstetrics and Gynaecology, Hamad Medical Corporation, Doha, Qatar. 2 Medicine and Surgery, Ahfad University for Women, Khartoum, Sudan. 3 Medical Relations and Treatment Abroad, Ministry of Public ...
Developed by UC San Diego with UNICEF and New Light Technologies, the tool helps Peru and Brazil anticipate dengue and malaria, plan resources and lay the groundwork for global expansion The Disease ...
aAdvanced Technology Development Centre, Indian Institute of Technology Kharagpur, West Bengal, India bNano Bio Photonics Group, Indian Institute of Technology Kharagpur, West Bengal, India ...
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