Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text

DOI10.1002/bimj.202100077zbMath1523.62247MaRDI QIDQ6068821

Lu Wang, Unnamed Author, Unnamed Author, Ivo D. Dinov

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

text miningcausal inferenceclinical decision makingprecision medicineelectronic health record

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• Tree-based reinforcement learning for estimating optimal dynamic treatment regimes
• Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods
• Tree-based methods for individualized treatment regimes
• Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
• Marginal Mean Models for Dynamic Regimes
• Pattern-Mixture Models for Multivariate Incomplete Data
• Case-Control Studies with Errors in Covariates
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Correcting for non-compliance in randomized trials using structural nested mean models
• Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer
• Optimal Structural Nested Models for Optimal Sequential Decisions
• Adaptive contrast weighted learning for multi‐stage multi‐treatment decision‐making
• Measurement Error in Nonlinear Models

This page was built for publication: Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text