Accurate classification and prediction of knee osteoarthritis based on Al-Biruni Earth Radius metaheuristic optimizer and LSTM classifier

Abstract Knee osteoarthritis (KOA) is one of the worst varieties of arthritis. If not treated right away, it might lead to knee replacement. For this reason, early KOA detection is crucial for optimal therapy. This work tested and improved deep learning (DL) algorithms for predicting and identifying...

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主要な著者:	Amal G. Diab, El-Sayed M. El-Kenawy, Nihal F. F. Areed, Hanan M. Amer, Mervat El-Seddek
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-04-01
シリーズ:	Scientific Reports
主題:	Knee osteoarthritis (KOA) Al-Biruni earth radius (BER) Machine learning (ML) Multilayer perceptron (MLP) Long short-term memory (LSTM)
オンライン･アクセス:	https://doi.org/10.1038/s41598-026-46131-7
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