Work

An informed machine learning based environmental risk score for hypertension in European adults

Year: 2025

Type: article

Source: Artificial Intelligence in Medicine

DOI: 10.1016/j.artmed.2025.103139

Authors: Jean-Baptiste Guimbaud, Emilie Calabre, Rafael de Cid, Camille Lassale, Manolis Kogevinas, Léa Maître, Rémy Cazabet

Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Barcelona Institute for Global Health, Laboratoire d'Informatique en Images et Systèmes d'Information, Institut National des Sciences Appliquées de Lyon, Mersen (France), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Universitat Pompeu Fabra, Instituto de Salud Carlos III, Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition, Municipal Institute for Medical Research, Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública

Language: English

Topic: Health, Environment, Cognitive Aging

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, Generalitat de Catalunya, Association Nationale de la Recherche et de la Technologie, Ministerio de Ciencia e Innovación, Grifols, Agencia Estatal de Investigación

Award: G5151298103

OpenAlex ID: W4409687329

FWCI: 1.527

Cites: 37

Cited by: 4

Related to: 10