Published April 13, 2023 | Version v1
Dataset Open

DIETxPOSOME - Selection of potentially useful papers from literature mining and machine learning protocols

Creators

  • 1. LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.º 228, 4050-313 Porto, Portugal
  • 2. Instituto Nacional de Saúde Dr. Ricardo Jorge, Departamento de Saúde Ambiental, Rua Alexandre Herculano 321, 4000-055 Porto, Portugal; LAQV/REQUIMTE, Universidade do Porto, Portugal
  • 3. Faculdade de Ciências da Nutrição e Alimentação, Universidade do Porto, Rua do Campo Alegre 823, 4150-180 Porto, Portugal

Description

DIETxPOSOME database concerning literature selection of potentially useful papers retrieved from PubMed search API, concerning contaminants quantification in food items of worldwide highest supply and using FoodMine code (text matching filter) and machine learning (ML) protocols. A list of 2,442 papers that potentially contained relevant information, covering the period between 2000 and 2022, was compiled from an initial number of 1,932,345 papers.

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Additional details

Funding

European Commission
ERA-HDHL - ERA-NET Biomarkers for Nutrition and Health implementing the JPI HDHL objectives 696295
Fundação para a Ciência e Tecnologia
UIDB/00006/2020 - Centre of Statistics and its Applications UIDB/00006/2020
Fundação para a Ciência e Tecnologia
PTDC/SAU-NUT/6061/2020 - Explore the impact of DIETary-eXPOSOME on chronic inflammation assessed through in vitro assays and mathematical modelling PTDC/SAU-NUT/6061/2020