Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information

Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information

(1) Background: Predicting the survival of patients in end-of-life care is crucial, and evaluating their performance status is a key factor in determining their likelihood of survival. However, the current traditional methods for predicting survival are limited due to their subjective nature. Wearab...

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Bibliographic Details
Main Authors: Yaoru Huang, Nidita Roy, Eshita Dhar, Umashankar Upadhyay, Muhammad Ashad Kabir, Mohy Uddin, Ching-Li Tseng, Shabbir Syed-Abdul
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
survival prediction
patient monitoring
wearables
prognosis
deep learning
decision making
Online Access:https://www.mdpi.com/2072-6694/15/8/2232

Internet

https://www.mdpi.com/2072-6694/15/8/2232

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