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Due to the COVID-19 pandemic, many university-level chemistry laboratory experiments transitioned online. This created an educational challenge because students are unable to access reagents and instruments typical in a university lab setting. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bf95b07c32f42ae05d9e8a8b6b7332
https://doi.org/10.26434/chemrxiv-2021-hxb4r
https://doi.org/10.26434/chemrxiv-2021-hxb4r
Autor:
Raphaël Sigogne, Stéphane Gaïffas, Dejan Milic, Morgan Geoffroy, Arnaud Bourdin, Emmanuel Bacry, Sara Mounir, Milka Maravic, Nicolas Roche
Publikováno v:
Epidemiology.
Introduction: Discriminating asthma and COPD among pharmaceutical dispensation databases where diagnosis is not mentioned is highly challenging but necessary for medico-economic analyses on respiratory diseases using these databases. Machine learning