Paper Info
Title
NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records
Abstract
•We proposed an algorithm that can find CHF cases from EMR and clinical notes.•Our NLP analytics prospectively identified 11.6% additional CHF cases in Maine.•On the manual reviewed dataset, the algorithm achieved an F-score of 0.753.•The algorithm was deployed to Maine HIE and identify CHF cases in real-time.
Year
DOI
Venue
2015
10.1016/j.ijmedinf.2015.06.007
International Journal of Medical Informatics
Keywords
Field
DocType
Congestive heart failure,Random forests,Natural language processing,Electronic Medical record,Prospective validation
Data mining,Population,Heart failure,Artificial intelligence,Medical record,Natural language processing,Prospective cohort study,Health information exchange,Medicine
Journal
Volume
Issue
ISSN
84
12
1386-5056
Citations 
PageRank 
References 
2
0.40
8
Authors
25
Name
Order
Citations
PageRank
Yue Wang1960143.63
Jin Luo220.40
Shiying Hao321.75
Haihua Xu422.09
Andrew Young Shin521.41
Bo Jin621.41
Rui Liu720.74
Xiaohong Deng820.40
Lijuan Wang920.40
Le Zheng1020.74
Y. Zhao1127733.44
Chunqing Zhu1221.41
Zhongkai Hu1320.74
Changlin Fu1420.74
Yanpeng Hao1520.40
Yingzhen Zhao1620.40
Yunliang Jiang1713422.20
Dorothy Dai1821.07
Devore S. Culver1921.07
Shaun T. Alfreds2021.41
Todd Rogow2120.40
Frank Stearns2221.41
Karl G. Sylvester2321.41
Eric Widen2421.41
Xuefeng Bruce Ling25865.87