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Advancing geospatial preconception health research in primary care through medical informatics and artificial intelligence

Bibliographic Data

ID12544254
AuthorsElena Segundo (Institut Universitari d'Investigació en Atenció Primària Jordi Gol), Jordi Carrère (0000-0002-5480-6072, Institut Universitari d'Investigació en Atenció Primària Jordi Gol), Jordi Carrere-Molina, María Aragón (0000-0002-5990-6953, corresponding author), Roger Mallol (0000-0001-5374-1580, Institut Universitari d'Investigació en Atenció Primària Jordi Gol)
Year2024
Volume89
Pages103337-103337
Publication date2024-08-15
Open AccessYes
TypeARTICLE
VenueHealth & Place (JOURNAL)
Journal identifiersISSN: 1353-8292 • E-ISSN: 1873-2054
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.healthplace.2024.103337
PMID39151214
OpenAlexW4401617190
LanguageEN
Citations received2
References cited23

Cartography · Data science · Environmental health · Family medicine · Geography · Geomatics · Geospatial analysis · Informatics · Medical education · Political science · Population · Primary care · Primary health care · Public health · Artificial Intelligence in Healthcare and Education · Computer Science · Health, Environment, Cognitive Aging · Machine Learning in Healthcare · Medicine · Nursing · Health Informatics

  • From infectious diseases to chronic diseases

    Open Access•Ke Hu, Chaojie Li et al.•Frontiers in Public Health•2025

  • Tracing place and health over Time

    Open Access•Michael R Desjardins, Tiina Rinne•Health & Place•2025

  • The origins of the developmental origins theory

    Open Access•David J P Barker•Journal of Internal Medicine•2007

  • Before the beginning

    Open Access•Judith Stephenson, Nicola Heslehurst et al.•The Lancet•2018

  • A life course approach to chronic disease epidemiology

    Yoav Ben-Shlomo•International Journal of…•2002

  • Geography, inequities, and the social determinants of health in transplantation

    Open Access•Katherine Ross-Driscoll, Katherine Ross‐Driscoll et al.•Frontiers in Public Health•2023

  • Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus

    Open Access•Mukkesh Kumar, Li Ting Ang et al.•International Journal of…•2022

  • Improving longitudinal research in geospatial health

    Open Access•Michael R Desjardins, Emily T Murray et al.•Health & Place•2023

Citations per year2
Citation span2025 - 2025 (1)
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae