DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

ABSTRACT:

Objective

The manual extraction of case details from patient records for cancer surveillance efforts is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. Our goal was to develop NLP application programming interfaces (APIs) for integration into cancer registry data abstraction tools in a computer-assisted abstraction setting.

Methods

We used cancer registry manual abstraction processes to guide the design of DeepPhe-CR, a web-based NLP service API. The coding of key variables was done through NLP methods validated using established workflows. A container-based implementation including the NLP wasdeveloped. Existing registry data abstraction software was modified to in

SUBMITTER: Hochheiser H 

PROVIDER: S-EPMC10187451 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature