Machine Learning For Gestational Diabetes Mellitus: Comparing Random Forest, K-Nearest Neighbor And Naive Bayes For Effective Risk Classification

Ulan Juniarti, Retno Agus Setiawan, Rosyid Ridlo Al-Hakim (2025) Machine Learning For Gestational Diabetes Mellitus: Comparing Random Forest, K-Nearest Neighbor And Naive Bayes For Effective Risk Classification. EC00202504478.

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Item Type:	Patent
Uncontrolled Keywords:	Machine Learning, Gestational Diabetes Mellitus:
Subjects:	Sains dan Teknologi Sains dan Teknologi > Sistem Informasi
Divisions:	Fakultas Sains dan Teknologi > S1 Sistem Informasi
Depositing User:	Salman Al Farizi
Date Deposited:	24 Apr 2026 00:54
Last Modified:	24 Apr 2026 00:54
URI:	http://eprints.uhb.ac.id/id/eprint/3771

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