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Open access Oct 2026

Improving Liver Disease Classification Performance Using Random Forest Algorithm with Grid Search Hyperparameter Optimization

Liver disease is one of the serious health problems that often develops without obvious early symptoms, making it difficult to detect early and increasing the risk of more severe complications. The main problem in the classification of liver disease is how to obtain a prediction model that has high accuracy and stabili...

Tiarni Catherine Pesahlita Lg, S. Solikhun, A. Wanto · 0 citations
Open access Aug 2026

Hybrid LSTM Optimized by Genetic Algorithm for Accurate Gold Price Forecasting to Support Investment Decisions

Gold price volatility poses a major challenge for investors in making accurate and timely investment decisions, as price movements are influenced by complex and nonlinear financial dynamics. Conventional forecasting models often fail to capture these patterns optimally due to suboptimal parameter selection. This study...

Chairunnisyah Widi Pratiwi, A. Wanto, Hendry Qurniawan · 0 citations

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