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 ...

The dengue virus (DENV) is endemic in most tropical regions of Central and South America. It is known that when the number of mosquito vectors (Aedes aegypti and Aedes albopictus) for this disease ...

Dengue fever is a major public health concern, particularly in countries like the Philippines where dengue incidence is surging and highly variable. To address this, predictive models for dengue cases ...

This project aims at building an in silico pipeline to identify novel Dengue Virus inhibitors. We will incorporate Machine Learning (ML) and Molecular Modeling techniques into the pipeline. The ...

aCentre for Bio-Inspired Technology, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom ...

Abstract: Dengue fever, a formidable mosquito-borne viral threat, presents a profound challenge in global health. The imperative for swift and accurate detection looms large, with millions of annual ...