Interpretable machine learning model to predict survival days of malignant brain tumor patients

Interpretable machine learning model to predict survival days of malignant brain tumor patients

An artificial intelligence (AI) model’s performance is strongly influenced by the input features. Therefore, it is vital to find the optimal feature set. It is more crucial for the survival prediction of the glioblastoma multiforme (GBM) type of brain tumor. In this study, we identify the best featu...

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Bibliographic Details
Main Authors: Snehal Rajput, Rupal A Kapdi, Mehul S Raval, Mohendra Roy
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
explainable AI
machine learning
features importance
brain tumor segmentation
survival prediction
interpretability
Online Access:https://doi.org/10.1088/2632-2153/acd5a9

Internet

https://doi.org/10.1088/2632-2153/acd5a9

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