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Yi-En Ku

Showing results (1-10 of 3) with videos related to

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JMIR Formative Research|April 10, 2025
Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation StudyFan-Ying Chan, Yi-En Ku, Wen-Nung Lie, et al.
International Journal of Antimicrobial Agents|October 29, 2025
Development and validation of machine learning models to predict vancomycin- and teicoplanin-associated acute kidney injury: A retrospective, multicenter studyPin-Yi Lo, Fan-Ying Chan, Yi-En Ku, et al.
International Journal of Antimicrobial Agents|April 20, 2024
Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infectionLing-Wan Chiu, Yi-En Ku, Fan-Ying Chan, et al.
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Showing results (1-10 of 3) with videos related to

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Pageof 1
JMIR Formative Research|April 10, 2025
Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation StudyFan-Ying Chan, Yi-En Ku, Wen-Nung Lie, et al.
International Journal of Antimicrobial Agents|October 29, 2025
Development and validation of machine learning models to predict vancomycin- and teicoplanin-associated acute kidney injury: A retrospective, multicenter studyPin-Yi Lo, Fan-Ying Chan, Yi-En Ku, et al.
International Journal of Antimicrobial Agents|April 20, 2024
Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infectionLing-Wan Chiu, Yi-En Ku, Fan-Ying Chan, et al.
Pageof 1