Showing 1 - 5 results of 5 for search '(( primary data rational optimization algorithm ) OR ( binary b common optimization algorithm ))', query time: 0.43s Refine Results
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    Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx by Lian Li (49049)

    Published 2025
    “…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …”
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    Table 1_Post-marketing safety surveillance of vortioxetine hydrobromide: a pharmacovigilance study leveraging FAERS database.xlsx by Ying Zhang (40767)

    Published 2025
    “…Our findings offer valuable insights for optimizing the use of vortioxetine hydrobromide and reducing potential side effects, serving as a reference for its rational and safe clinical application.…”
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    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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    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. …”