XAI-AttBiLSTM: an explainable two-stage feature selection framework with Attention-based BiLSTM for gynecological cancer risk module identification

Network Modeling Analysis in Health Informatics and Bioinformatics 2026

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Authors: Mst. Mostary Khatun, Francis Rudra D Cruze, Mst. Mostary Khatun, Md. Faruk Hosen, Muhammad Shahin Uddin, Md. Monir Morshed
DOI: 10.1007/s13721-026-00739-x
Cited by: 1
References: 49

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Machine Learning in Bioinformatics AI in cancer detection

Publication details

Journal / source
Network Modeling Analysis in Health Informatics and Bioinformatics
Publisher
Springer Science and Business Media LLC
Volume
15
Issue
1
Publication date
13 April 2026
Language
EN