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International Journal of Nephrology and Renovascular Disease Volume 17, 2024 - Issue
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ORIGINAL RESEARCH

Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery

Evi Diana Omar1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, MalaysiaORCID Iconhttps://orcid.org/0000-0003-0399-3602
ORCID Icon,
Hasnah Mat1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
,
Ainil Zafirah Abd Karim1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, MalaysiaCorrespondence[email protected]
,
Ridwan Sanaudi1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
,
Fairol H Ibrahim2 Hospital Sultan Idris Shah Serdang, Ministry of Health Malaysia, Kajang, Selangor, Malaysia
,
Mohd Azahadi Omar1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
,
Muhd Zulfadli Hafiz Ismail1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
,
Vivek Jason Jayaraj1 Sector for Biostatistics and Data Repository, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
&
Bak Leong Goh2 Hospital Sultan Idris Shah Serdang, Ministry of Health Malaysia, Kajang, Selangor, Malaysia
 show all
Pages 197-204 | Received 04 Mar 2024, Accepted 13 Jun 2024, Published online: 23 Jul 2024

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