Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer

Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer

IoT has facilitated predominant advancements in cancer research by incorporating Artificial intelligence (AI) that enables human decision-makers to achieve a better decision. Recently, Least Absolute Shrinkage and Selection Operator (LASSO) classifier has launched in predicting recurrence cancer gen...

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Bibliographic Details
Main Authors: Geeitha Senthilkumar, Jothilakshmi Ramakrishnan, Jaroslav Frnda, Manikandan Ramachandran, Deepak Gupta, Prayag Tiwari, Mohammad Shorfuzzaman, Mazin Abed Mohammed
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
cervical cancer
feature selection
the Internet of Things (IoT)
recurrence prediction
risk score
Online Access:https://ieeexplore.ieee.org/document/9447707/

Internet

https://ieeexplore.ieee.org/document/9447707/

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