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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
primary end » primary means (Expand Search), primary cell (Expand Search), primary open (Expand Search)
binary wave » binary image (Expand Search)
end joint » end point (Expand Search), end points (Expand Search), weld joint (Expand Search)
Showing 1 - 4 results of 4 for search '(( primary end joint optimization algorithm ) OR ( binary wave driven optimization algorithm ))*', query time: 0.38s Refine Results
  1. 1
    Patient baseline information.

    Patient baseline information. by Chan Xu (1510759)

    Published 2024
    “…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”
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  2. 2
    Univariate and multivariate logistic regression.

    Univariate and multivariate logistic regression. by Chan Xu (1510759)

    Published 2024
    “…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”
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  3. 3
    Comparison of six machine learning methods.

    Comparison of six machine learning methods. by Chan Xu (1510759)

    Published 2024
    “…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”
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  4. 4
    Univariate and multivariate Cox regression.

    Univariate and multivariate Cox regression. by Chan Xu (1510759)

    Published 2024
    “…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”
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