2024 article

Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator

Rhodes, G., Davidian, M., & Lu, W. (2024, February 9). BIOSTATISTICS, Vol. 2.

By: G. Rhodes*, M. Davidian n & W. Lu n

author keywords: context vector; dynamic treatment regime; electronic medical record; MIMIC-III; precision medicine; Q-learning; random forest; residual life; sepsis
TL;DR: ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life, and it is demonstrated that ReLiVE-Q leverages accumulating patient information to estimate personalized treatment regimes that optimize a clinically meaningful function of residual life. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: February 19, 2024

2023 journal article

DYNAMIC PREDICTION OF RESIDUAL LIFE WITH LONGITUDINAL COVARIATES USING LONG SHORT-TERM MEMORY NETWORKS

ANNALS OF APPLIED STATISTICS, 17(3), 2039–2058.

By: G. Rhodes n, M. Davidian n & W. Lu n

author keywords: Biomarker; dynamic prediction; electronic medical record; long short-term memory network; longitudinal data; MIMIC-III; neural network; residual life; sepsis; transformed mean residual life model
TL;DR: It is demonstrated that the L STM-GLM and the LSTM-NN are useful tools for producing individualized, real-time predictions of RMRL that can help inform the treatment decisions of septic patients. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023

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