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Found 4 papers, 2 papers with code
Inferring Actual Treatment Pathways from Patient Records
This study aims to infer the actual treatment steps for a particular patient group from administrative health records (AHR) - a common form of tabular healthcare data - and address several technique- and methodology-based gaps in treatment pathway-inference research.
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
We identify and analyse which machine learning techniques are applied to AHRs and which health informatics applications are pursued in AHR-based research.
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences
Electronic health records (EHR) reflect real-world treatment behaviours that are used to enhance healthcare management but present challenges; protocols and pathways are often loosely defined and with elements frequently not recorded in EHRs, complicating the enhancement.
Relational Autoencoder for Feature Extraction
Feature extraction becomes increasingly important as data grows high dimensional.
