Predicting breast cancer-specific survival in metaplastic breast cancer patients using machine learning algorithms-Reference-Cited by-同舟云学术

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Predicting breast cancer-specific survival in metaplastic breast cancer patients using machine learning algorithms

Published:2023 Issue: Volume:14 Page:100329
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Feng Yufan,McGuire Natasha,Walton Alexandra,Fox Stephen,Papa Antonella,Lakhani Sunil R.,McCart Reed Amy E.

Funder

Victorian Cancer Agency

National Health and Medical Research Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Reference67 articles.

1. Metaplastic carcinoma;Reis-Filho,2019

2. The 2019 World Health Organization classification of tumours of the breast;Tan;Histopathology.,2020

3. Metaplastic breast carcinoma: more than a special type;Weigelt;Nat Rev Cancer.,2014

4. Characterization of a naturally occurring breast cancer subset enriched in epithelial-to-mesenchymal transition and stem cell characteristics;Hennessy;Cancer Res.,2009

5. Phenotypic and molecular dissection of metaplastic breast cancer and the prognostic implications;McCart Reed;J Pathol.,2019

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2. A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction;Information Systems Engineering and Management;2024

3. A hybrid model for post-treatment mortality rate classification of patients with breast cancer;Healthcare Analytics;2023-12

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