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Intelligent technique in early liver disease prediction using real data samples from the perspective of Bangladesh

Jul 2026 · Network Modeling Analysis in Health Informatics and Bioinformatics · Vol 15 · 0 citations · 33 references

TL;DR

A comprehensive comparative framework integrating classical ML classifiers such as Support Vector Machine, K-Nearest Neighbors, Decision Tree, Logistic Regression, and Random Forest with DL models including Multilayer Perceptron, Long Short-Term Memory, Recurrent Neural Network, Convolutional Neural Network, and Deep Neural Network for liver disease prediction is proposed.

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