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  1. Article ; Online: Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.

    Puchades, Ramón / Tung-Chen, Yale / Salgueiro, Giorgina / Lorenzo, Alicia / Sancho, Teresa / Fernández Capitán, Carmen

    Thrombosis research

    2023  Volume 234, Page(s) 9–11

    MeSH term(s) Humans ; Artificial Intelligence ; Machine Learning
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Review ; Letter
    ZDB-ID 121852-9
    ISSN 1879-2472 ; 0049-3848
    ISSN (online) 1879-2472
    ISSN 0049-3848
    DOI 10.1016/j.thromres.2023.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  2. Article: Krebs von den Lungen-6 (KL-6) Levels in Post-COVID Follow-Up: Differences According to the Severity of COVID-19.

    Carpio, Carlos / Qasem, Ana / Buño, Antonio / Borobia, Alberto M / Arnalich, Francisco / Rey, Vega / Lázaro, Teresa / Mariscal, Pablo / Laorden, Daniel / Salgueiro, Giorgina / Moreno, Alberto / Peiró, Concepción / Lorenzo, Óscar / Álvarez-Sala, Rodolfo / On Behalf Of Covid Hulp Working Group / On Behalf Of Postcovid Hulp Working Group

    Journal of clinical medicine

    2023  Volume 12, Issue 19

    Abstract: To evaluate KL-6 levels in medium-term post-COVID and to compare them in three groups categorised by the severity of COVID-19, we conducted a real-world, retrospective, cohort study. Data from the COVID-19 episode and follow-up during the post-COVID ... ...

    Abstract To evaluate KL-6 levels in medium-term post-COVID and to compare them in three groups categorised by the severity of COVID-19, we conducted a real-world, retrospective, cohort study. Data from the COVID-19 episode and follow-up during the post-COVID phase were extracted from the COVID@HULP and POSTCOVID@HULP databases, respectively. For the post-COVID period we included demographics, medical history, symptoms, quality of life, physical activity, anxiety and depression status and laboratory results. Patients were categorised into three groups based on the severity of COVID-19: Group 1 (inpatient critical), Group 2 (inpatient non-critical) and Group 3 (hospitalised at home). KL-6 was measured during the follow-up of the three groups. In all, 802 patients were included (Group 1 = 59; Group 2 = 296; Group 3 = 447 patients). The median age was 59 years (48-70), and 362 (45.2%) were males. At admission, fibrinogen and ferritin levels were lower in Group 3 than in the other groups (
    Language English
    Publishing date 2023-09-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12196299
    Database MEDical Literature Analysis and Retrieval System OnLINE

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