Augmentation of Predictive Competence of Non-Small Cell Lung Cancer Datasets through Feature Pre-Processing Techniques

Sumalatha, M. and Parthiban, Latha (2022) Augmentation of Predictive Competence of Non-Small Cell Lung Cancer Datasets through Feature Pre-Processing Techniques. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

The major Objective of the Study is to augment the predictive analytics of Non-Small Cell Lung Cancer (NSCLC) datasets with Feature Pre-Processing (FPP) technique in three stages viz. Remove base errors with common analytics on emptiness or non-numerical or missing values in the dataset, remove repe

Item Type: Article
Date Deposited: 04 Mar 2026 16:06
Last Modified: 11 Apr 2026 09:40
URI: http://eprints.eai.eu/id/eprint/42311

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