@inproceedings{1d309aa4e75e4988bd20a9ee82d95c39,
title = "Using human phenotype ontology for phenotypic analysis of clinical notes",
abstract = "Phenotypes are defined as observable characteristics of organisms. To facilitate the translation between genotype and phenotype, Human Phenotype Ontology (HPO) was developed as a semantically computable standardized vocabulary to capture phenotypic abnormalities found in human. In this study, we investigated the use of HPO to annotate phenotypic information in clinical domain by leveraging a corpus of 12.8 million clinical notes created from 2010 to 2015 for 729 thousand patients at Mayo Clinic Rochester campus.",
keywords = "Human phenotype ontology, Phenotypic analysis, Semantics",
author = "Feichen Shen and Liwei Wang and Hongfang Liu",
note = "Publisher Copyright: {\textcopyright} 2017 International Medical Informatics Association (IMIA) and IOS Press.; 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
year = "2017",
doi = "10.3233/978-1-61499-830-3-1285",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1285",
editor = "Gundlapalli, {Adi V.} and Jaulent Marie-Christine and Zhao Dongsheng",
booktitle = "MEDINFO 2017",
address = "Netherlands",
}