Výsledky vyhledávání - "Heikki J Ekroos"

Smoking is a predictor of complications in all types of surgery: a machine learning-based big data study

Autor: Helene L Gräsbeck, Aleksi R P Reito, Heikki J Ekroos, Juhani A Aakko, Olivia Hölsä, Tuula M Vasankari

Publikováno v: BJS Open. 7

Background Machine learning algorithms are promising tools for smoking status classification in big patient data sets. Smoking is a risk factor for postoperative complications in major surgery. Whether this applies to all surgery is unknown. The aims

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bdf50dd4cdef127d0edb246c4187cabf
https://doi.org/10.1093/bjsopen/zrad016

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[Sustained reduction in bronchial hyperresponsiveness within three days of inhaled fluticasone propionate in mild asthma:time course after onset and cessation of treatment]

Autor: Anssi R A, Sovijärvi, Tari, Haahtela, Heikki J, Ekroos, Ari, Lindqvist, Antti, Saarinen, Tuija, Poussa, Lauri A, Laitinen

Publikováno v: Duodecim; laaketieteellinen aikakauskirja. 120(13)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::661518f2f9ef2f79e6eaa2512e03cf37
https://pubmed.ncbi.nlm.nih.gov/15326966

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Akademický článek

Attribution of smoking to healthcare costs in the postoperative interval.

Autor: Gräsbeck, Helene L, Reito, Aleksi R P, Ekroos, Heikki J, Aakko, Juhani A, Hölsä, Olivia, Vasankari, Tuula M

Publikováno v: BJS Open; Aug2024, Vol. 8 Issue 4, p1-3, 3p

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Periodical

Researcher from Helsinki Reports Details of New Studies and Findings in the Area of Machine Learning (Smoking is a predictor of complications in all types of surgery: a machine learning-based big data study).

Publikováno v: Medical Devices & Surgical Technology Week; 5/14/2023, p599-599, 1p

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