A hybrid machine learning approach for predicting survival of patients with prostate cancer: A SEER-based population study

A hybrid machine learning approach for predicting survival of patients with prostate cancer: A SEER-based population study

With the massive incidence of cancer in recent centuries, it is crucial to carefully analyze the recorded information and provide a thought-out plan for patients’ treatment. A prevalent type of cancer among men, which takes many lives annually, is prostate cancer. The widespread use of machine learn...

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Bibliographic Details
Main Authors: N. Momenzadeh, H. Hafezalseheh, M.R. Nayebpour, M. Fathian, R. Noorossana
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Prostate cancer
Machine learning
FAMD
Cluster centroids
SEER
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002379

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