Stage-based colorectal cancer prediction on uncertain dataset using rough computing and LSTM models

Stage-based colorectal cancer prediction on uncertain dataset using rough computing and LSTM models

Abstract Artificial intelligence (AI) is an attractive field of Computer Science that helps to classify and to predict various real-time applications. Perhaps AI has a major role in predicting diseases at an early stage based on history. As cancer is one of the most harmful diseases where the mortal...

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Bibliographic Details
Main Authors: K. Supriya, A. Anitha
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Colorectal cancer prediction
Rough set on fuzzy approximation space (RSFAS)
LSTM
Survival analysis
Weibull distribution
Online Access:https://doi.org/10.1038/s41598-024-77302-z
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https://doi.org/10.1038/s41598-024-77302-z

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