Early predictive model for breast cancer classification using blended ensemble learning

Breast cancer is one of the most common cancers among women’s worldwide, and it is a fact that most of the cases are discovered late. Several researchers have examined the prediction of breast cancer. Breast cancer poses a significant hazard to women. The deficiency of reliable predictive models rea...

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Veröffentlicht in:	International journal of system assurance engineering and management Jg. 15; H. 1; S. 188 - 197
Hauptverfasser:	Mahesh, T. R., Vinoth Kumar, V., Vivek, V., Karthick Raghunath, K. M., Sindhu Madhuri, G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New Delhi Springer India 01.01.2024 Springer Nature B.V
Schlagworte:	Accuracy Breast cancer Cancer therapies Classification Data mining Datasets Decision trees Disease Engineering Engineering Economics Ensemble learning Fuzzy sets Genetic algorithms Logistics Machine learning Mammography Marketing Medical diagnosis Medical prognosis Neural networks Organization Original Article Patients Performance measurement Prediction models Quality Control Reliability Safety and Risk Support vector machines Womens health United States > US Wisconsin Accuracy Precision Machine learning Prediction Breast cancer Recall Diagnosis Detection system
ISSN:	0975-6809, 0976-4348
Online-Zugang:	Volltext
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