@inproceedings{059c9503a0814ccab6008611e5b33364,
title = "Integrating Automated Biomedical Lexicon Creation for Valley Fever Diagnosis",
abstract = "Named Entity Recognition (NER) is an important task in biomedical NLP which identifies and categorizes entities in biomedical text. We currently focus on a rule-based approach for NER to identify the diagnostic criteria of valley fever in the free text of electronic health records (EHRs), since no training data exist for machine learning. To aid the manual pattern defining process of the rule-based approach, we propose a graph-based lexicon expansion method. We used different word embedding models to create a lexicon graph and expanded the lexicons by conducting different graph search methods. ",
keywords = "EHR, electronic health records, graph search, lexicon, lexicon expansion, lexicon extension, valley fever, word embeddings",
author = "Hyunju Song and Yang Gu and Gondy Leroy and Donovan, {Fariba M.} and Galgiani, {John N.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021 ; Conference date: 16-12-2021 Through 18-12-2021",
year = "2021",
doi = "10.1109/CHASE52844.2021.00021",
language = "English (US)",
series = "Proceedings - 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "111--112",
booktitle = "Proceedings - 2021 IEEE/ACM Conference on Connected Health",
}