Phenomapping of Patients with Primary Breast Cancer Using Machine Learning-Based Unsupervised Cluster Analysis

Phenomapping of Patients with Primary Breast Cancer Using Machine Learning-Based Unsupervised Cluster Analysis

Primary breast cancer (PBC) is a heterogeneous disease at the clinical, histopathological, and molecular levels. The improved classification of PBC might be important to identify subgroups of the disease, relevant to patient management. Machine learning algorithms may allow a better understanding of...

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Bibliographic Details
Main Authors: Sara Ferro, Daniele Bottigliengo, Dario Gregori, Aline S. C. Fabricio, Massimo Gion, Ileana Baldi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Personalized Medicine
Subjects:
primary breast cancer
prognostic factors
clustering
unsupervised learning
Online Access:https://www.mdpi.com/2075-4426/11/4/272

Internet

https://www.mdpi.com/2075-4426/11/4/272

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