Home › Entities › academia › Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy

Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy

Research article (AIP conference proceedings, 2024) · cited 58× · AI/ML
academia openalex:W4396689446
Press Enter · cited answer in seconds

Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy

Summary

Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy is a scholarly article[1].

Key Facts

  • Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist
MLA “Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist.
BibTeX @misc{4ortxyz_medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and decision tree to measure accuracy — https://4ort.xyz/entity/medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/medical-image-prediction-for-diagnosis-of-breast-cancer-disease-comparing-the-machine-learning-algorithms-svm-knn-logist · Last refreshed: