Optimizing Cervical Cancer Diagnosis with Correlation-Based Feature Selection: A Comparative Study of Machine Learning Models

Wiwit Supriyanti; Sujalwo Sujalwo; Dimas Aryo Anggoro; Maryam Maryam; Nova Tri Romadloni

doi:10.14569/ijacsa.2024.0151270

ScienceGate Book Chapters

JOURNAL ARTICLE

Optimizing Cervical Cancer Diagnosis with Correlation-Based Feature Selection: A Comparative Study of Machine Learning Models

Wiwit Supriyanti Sujalwo Sujalwo Dimas Aryo Anggoro Maryam Maryam Nova Tri Romadloni

Year: 2024 Journal: International Journal of Advanced Computer Science and Applications Vol: 15 (12) Publisher: Science and Information Organization

DOI: 10.14569/ijacsa.2024.0151270

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Feature selection Correlation Artificial intelligence Cervical cancer Machine learning Feature (linguistics) Selection (genetic algorithm) Cancer Medicine

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.24

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Optimizing Cervical Cancer Diagnosis with Correlation-Based Feature Selection: A Comparative Study of Machine Learning Models

Metrics

Topics

Related Documents

Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning

Optimizing Lung Cancer Prediction through Feature Selection-based Machine Learning Models

Optimizing Lung Cancer Diagnosis with Machine Learning and Feature Selection Methods

Enhancing Software Effort Estimation: A Comparative Analysis of Machine Learning Models with Correlation-Based Feature Selection

Optimizing Breast Cancer Detection: Integrating Machine Learning with Feature Selection