A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe

In our study, we introduce a novel hybrid ensemble model that synergistically combines LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations in cancer. This model was rigorously tested using Kaggle's Personalized Medicine: Redefining Cancer Treatment dataset, dem...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Aburass, Sanad, Dorgham, Osama, Jamil Al Shaqsi
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer Classification Machine learning Mutation Precision medicine
Online-Zugang:	Volltext
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