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

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.