Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep learning approaches to improve predictive performance using clinical and biomarker-based data which was scaled throug...

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Bibliographic Details
Main Authors: Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Clustering
data preprocessing
feature selection
machine learning
ovarian cancer
Online Access:https://ieeexplore.ieee.org/document/11086596/
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