Article

Breast Cancer Classification Using an Adapted Bump Hunting Algorithm

2024-12-12

Abstract excerpt

The Patient Rule Induction Method (PRIM) is a data mining technique used for identifying patterns in datasets, particularly focusing on discovering regions of the chosen input space where the response variable is unusually high or low. It falls in the subgroup Discovery field, where finding small groups is more relevant for the explainability of the results, although it is not a classification technique per se. In...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: df85151e-bf5c-5902-be3a-1b5268d37f9d
DOI: 10.20944/preprints202412.1074.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Breast Cancer Classification Using an Adapted Bump Hunting AlgorithmDOI 10.20944/preprints202412.1074.v1Read

Deep Learning for Predicting Breast Cancer: A Systematic Review of Progress and Future DirectionsSemantic proximity Read

A study on the development of a machine learning-based clinical prediction model for bone health management in breast cancer patientsSemantic proximity Read

A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer DetectionSemantic proximity Read

Hybrid Metaheuristic Feature Selection for Enhanced Breast Cancer Detection in Digital Mammography: A Radiomics and Deep Learning Approach with Cross-Dataset ValidationSemantic proximity Read

Using Machine Learning to Parse Breast Pathology ReportsSemantic proximity Read

Applying data mining for the analysis of breast cancer data.Semantic proximity Read

Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining TechniquesSemantic proximity Read

Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.Semantic proximity Read

Cervical Cancer Prediction based on Imbalanced Data using Machine Learning AlgorithmsSemantic proximity Read

BCOOT-Based Binary Optimization for Microarray-Based Cancer Gene Selection and Classification: A Comparative StudySemantic proximity Read

A Hybrid Advanced Machine Learning Stacked Model with Genetic Weighting for Accurate Breast Lesion Classification on Ultrasound ImagingSemantic proximity Read

XBNet and Text Mining-based Genetic Diseases ClassificationSemantic proximity Read