Using Natural Language Processing Techniques to Detect Adverse Events From Progress Notes Due to Chemotherapy.

ABSTRACT:

Objective

In recent years, natural language processing (NLP) techniques have progressed, and their application in the medical field has been tested. However, the use of NLP to detect symptoms from medical progress notes written in Japanese, remains limited. We aimed to detect 2 gastrointestinal symptoms that interfere with the continuation of chemotherapy-nausea/vomiting and diarrhea-from progress notes using NLP, and then to analyze factors affecting NLP.

Materials and methods

In this study, 200 patients were randomly selected from 5277 patients who received intravenous injections of cytotoxic anticancer drugs at Kagawa University Hospital, Japan, between January 2011 and December 2018. We aimed to detect the first occurrence of nausea/vomiting (Group A) and diarrhea (Group

SUBMITTER: Mashima Y 

PROVIDER: S-EPMC8943584 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature