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Updated: Sep 9, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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信頼性の高い予測に向けて: 臨床時間序列データに対するベイジアン連続学習アプローチ

Cao Zhen, Jeanette Poh Wen Jun, Yang Guo

    IEEE journal of biomedical and health informatics
    |September 1, 2025
    PubMed
    まとめ

    この研究では,臨床時間系列データのための新しいディープラーニング方法である継続的なベイジアン長期短期記憶 (C-BLSTM) が紹介されています. C-BLSTMはモデルの汎用性を向上させ,現実世界の医療予測における既存のアプローチを上回ります.

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