Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection

Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection

In Indonesia, the stunting rate has reached 36%, significantly higher than the World Health Organization's (WHO) standard of 20%. This high prevalence underscores the urgent need for effective early detection methods. Traditional data mining approaches for stunting detection have primarily focu...

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Bibliographic Details
Main Authors: Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2025-04-01
Series:JOIN: Jurnal Online Informatika
Subjects:
data balancing
dimensionality reduction
multimodal
stunting
unimodal
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/1495
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