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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914821002379 |