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Efficient mortality prediction for acute respiratory failure: a resource-constrained machine learning approach using MIMIC databases.

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Title: Efficient mortality prediction for acute respiratory failure: a resource-constrained machine learning approach using MIMIC databases.
Authors: Khan, Muhammad Talha1, mu.talha.k@gmail.com, Gulzar, Maryam2, maryam.gulzar@lut.fi, Ali, Arshad1, arshad.ali1@nu.edu.pk, Wali, Aamir1, aamir.wali@nu.edu.pk, Amir, Rida1, ridaamirbashir@gmail.com
Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-38, 38p
Database: Applied Science & Technology Source
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  Data: Efficient mortality prediction for acute respiratory failure: a resource-constrained machine learning approach using MIMIC databases.
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  Data: <searchLink fieldCode="AU" term="%22Khan%2C+Muhammad+Talha%22">Khan, Muhammad Talha</searchLink><relatesTo>1</relatesTo>, <i>mu.talha.k@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Gulzar%2C+Maryam%22">Gulzar, Maryam</searchLink><relatesTo>2</relatesTo>, <i>maryam.gulzar@lut.fi</i><br /><searchLink fieldCode="AU" term="%22Ali%2C+Arshad%22">Ali, Arshad</searchLink><relatesTo>1</relatesTo>, <i>arshad.ali1@nu.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Wali%2C+Aamir%22">Wali, Aamir</searchLink><relatesTo>1</relatesTo>, <i>aamir.wali@nu.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Amir%2C+Rida%22">Amir, Rida</searchLink><relatesTo>1</relatesTo>, <i>ridaamirbashir@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Dec2025, Vol. 58 Issue 12, p1-38, 38p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188634549
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      – Type: doi
        Value: 10.1007/s10462-025-11387-4
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      – Code: eng
        Text: English
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        PageCount: 38
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      – TitleFull: Efficient mortality prediction for acute respiratory failure: a resource-constrained machine learning approach using MIMIC databases.
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            NameFull: Khan, Muhammad Talha
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            NameFull: Gulzar, Maryam
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 58
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