Quantifying risk factors in medical reports with a context-aware linear model.

ABSTRACT:

Objective

We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions, symptoms, laboratory tests or behaviors) in text is a well-researched task. However, determining the level of risk associated with them is partly dependent on the textual context in which they appear, which may describe severity, temporal aspects, quantity, etc.

Methods

To take into account that a given word appearing in the context of different risk factors (medical concepts) can make different contributions toward risk level, we propose a multitask approach, called context-aware linear modeling, which can be applied using appropriately regularized linear regressio

SUBMITTER: Przybyla P 

PROVIDER: S-EPMC6515525 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature