Castration-Resistant Prostate Cancer Outcome Prediction Using Phased Long Short-Term Memory with Irregularly Sampled Serial Data

Castration-Resistant Prostate Cancer Outcome Prediction Using Phased Long Short-Term Memory with Irregularly Sampled Serial Data

It is particularly desirable to predict castration-resistant prostate cancer (CRPC) in prostate cancer (PCa) patients, and this study aims to predict patients’ likely outcomes to support physicians’ decision-making. Serial data is collected from 1592 PCa patients, and a phased lo...

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Bibliographic Details
Main Authors: Jihwan Park, Mi Jung Rho, Hyong Woo Moon, Ji Youl Lee
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
prostate cancer
castration-resistant prostate cancer
deep learning
phased long short-term memory
Online Access:https://www.mdpi.com/2076-3417/10/6/2000

Internet

https://www.mdpi.com/2076-3417/10/6/2000

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