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Abubakar et al., 2024 - Google Patents

Using Principal Component Analysis and Logistics Regression to Model Major Types of Cancer among Youth: A Review

Abubakar et al., 2024

Document ID
11853347712239327459
Author
Abubakar M
Adehi M
Abubakar M
Publication year
Publication venue
African Journal of Advances in Science and Technology Research

External Links

Snippet

Cancer poses a significant health challenge among young Nigerians due to high incidence rates and limited research on risk factors and outcomes. This study examines the utility of logistic regression and principal component analysis (PCA) in understanding cancer …
Continue reading at afropolitanjournals.com (other versions)

Classifications

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    • G06F17/2247—Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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    • G06Q10/00—Administration; Management
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