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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.

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Title: Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.
Authors: Zhang, Guang1, Xie, Qingyan2, Wang, Chengyi2, Xu, Jiameng2, Liu, Guanjun1, Su, Chen1, suchen_wqs@126.com
Source: Medical & Biological Engineering & Computing; Nov2024, Vol. 62 Issue 11, p3445-3458, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180331338
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Nov2024, Vol. 62 Issue 11, p3445-3458, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180331338
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11517-024-03143-7
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 3445
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      – TitleFull: Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.
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            NameFull: Zhang, Guang
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            NameFull: Xie, Qingyan
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            NameFull: Wang, Chengyi
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            NameFull: Xu, Jiameng
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            NameFull: Liu, Guanjun
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            NameFull: Su, Chen
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            – D: 01
              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
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              Value: 62
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            – TitleFull: Medical & Biological Engineering & Computing
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