Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine

PMID: 29614708

Abstract

BACKGROUND: This cross-sectional retrospective study utilized Natural Language Processing (NLP) to extract tobacco-use associated variables from clinical notes documented in the Electronic Health Record (EHR).

Authors

Harshad Hegde
Neel Shimpi
Ingrid Glurich
Amit Acharya

Keywords

Algorithms Cross-Sectional Studies Data Mining Electronic Health Records Humans Natural Language Processing Retrospective Studies Tobacco Use

External Resources

View on PubMed Access via DOI PubMed (29614708)

Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals