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Showing 1 - 8 results of 8 for search '(( binary b common optimization algorithm ) OR ( primary care driven optimization algorithm ))', query time: 0.34s Refine Results
  1. 1
    Data_Sheet_1_A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.docx

    Data_Sheet_1_A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.docx by Çaǧlar Çaǧlayan (12253934)

    Published 2022
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  2. 2
    Image_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.JPEG

    Image_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.JPEG by Rujia Miao (12075653)

    Published 2024
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  3. 3
    Table_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.DOC

    Table_1_A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.DOC by Rujia Miao (12075653)

    Published 2024
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  4. 4
    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx

    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx by Liyin Zhang (6371999)

    Published 2023
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  5. 5
    Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf

    Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf by Michael Moor (10887888)

    Published 2021
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  6. 6
    Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF

    Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF by Michael Moor (10887888)

    Published 2021
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  7. 7
    Supplementary Material 8

    Supplementary Material 8 by Nishitha R Kumar (19750617)

    Published 2025
    “…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
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  8. 8
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…</p><p><br></p><p dir="ltr">The fourth measurement involved a <b>modified</b> <b>eccentricity</b> assessment to discern the pear/teardrop shape of RBCs by examining their extents across four rotated image quadrants, in contrast to the commonly employed eccentricity of considering only two facing halves. …”
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