Výsledky vyhledávání - "Ellen Tolestam Heyman"

Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths

Autor: Ardavan Khoshnood, Ellen Tolestam Heyman, Ulf Ekelund, Lina Holmqvist, Mattias Ohlsson, Markus Lingman, Awais Ashfaq

Publikováno v: The Journal of Emergency Medicine. 61:763-773

BACKGROUND Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, migh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f917af03646fdf28d12c7b0522edda
https://doi.org/10.1016/j.jemermed.2021.09.004

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Likelihood of admission to hospital from the emergency department is not universally associated with hospital bed occupancy at the time of admission

Autor: Ellen Tolestam Heyman, Martin Engström, Markus Lingman, Lina Holmqvist, Amir Baigi

Publikováno v: The International Journal of Health Planning and Management

Background: The decision to admit into the hospital from the emergency department (ED) is considered to be important and challenging. The aim was to assess whether previously published results suggesting an association between hospital bed occupancy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1142e82406f6b96ab12f031c35975125
https://doi.org/10.1002/hpm.3086

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