Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network.

Sena Chae W Nick Street Naveenkumar Ramaraju Stéphanie Gilbertson White

Published in: JCO clinical cancer informatics (2024)

We can successfully predict patients' symptom trajectories with a prediction model, built with sparse assessment data, using routinely collected nursing documentation. The results of this project can be applied to better individualize symptom management to support cancer patients' quality of life.

Keyphrases

electronic health record
neural network
clinical decision support
patient reported
end stage renal disease
adverse drug
ejection fraction
newly diagnosed
quality improvement
prognostic factors
depressive symptoms
working memory
squamous cell carcinoma
big data
young adults
machine learning
data analysis