@inproceedings{f311dd1c570c4a0a8a59af83cfb5c7d8,
title = "Feature Extraction and Visualization of Respiratory Therapist Notes for Pediatric Long-Term Ventilator Dependent Patients",
abstract = "Children with long-term ventilator dependence are a growing population that generate substantial cost to the healthcare system and require very lengthy admissions to initiate support. Respiratory therapy notes contain free-text descriptions of key respiratory events during these admissions but are underutilized. Using a retrospective electronic health record data set from 101 patients, we identified more clinically concerning patients, extracted key features from the free-text notes that differentiated these patients, and displayed those features in a timeline visualization that has implications for clinical decision support.",
keywords = "information visualization, linguistic analysis, pediatrics",
author = "Pajor, {Nathan M.} and Lindsay Nickels and Ezra Edgerton and Wu, {Danny T.Y.} and Benscoter, {Dan T.} and Lee, {James J.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Workshop on Visual Analytics in Healthcare, VAHC 2020 ; Conference date: 14-11-2020 Through 18-11-2020",
year = "2020",
month = nov,
doi = "10.1109/VAHC53729.2020.00011",
language = "English (US)",
series = "Proceedings - 2020 Workshop on Visual Analytics in Healthcare, VAHC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "26--27",
booktitle = "Proceedings - 2020 Workshop on Visual Analytics in Healthcare, VAHC 2020",
address = "United States",
}