Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records
Joint Authors
Hsu, Chien-Yeh
Liaw, Siaw-Teng
Dai, Hong-Jie
Jonnagaddala, Jitendra
Ray, Pradeep
Kumar, Manish
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Heart disease is the leading cause of death worldwide.
Therefore, assessing the risk of its occurrence is a crucial step in predicting serious cardiac events.
Identifying heart disease risk factors and tracking their progression is a preliminary step in heart disease risk assessment.
A large number of studies have reported the use of risk factor data collected prospectively.
Electronic health record systems are a great resource of the required risk factor data.
Unfortunately, most of the valuable information on risk factor data is buried in the form of unstructured clinical notes in electronic health records.
In this study, we present an information extraction system to extract related information on heart disease risk factors from unstructured clinical notes using a hybrid approach.
The hybrid approach employs both machine learning and rule-based clinical text mining techniques.
The developed system achieved an overall microaveraged F-score of 0.8302.
American Psychological Association (APA)
Jonnagaddala, Jitendra& Liaw, Siaw-Teng& Ray, Pradeep& Kumar, Manish& Dai, Hong-Jie& Hsu, Chien-Yeh. 2015. Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056228
Modern Language Association (MLA)
Jonnagaddala, Jitendra…[et al.]. Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1056228
American Medical Association (AMA)
Jonnagaddala, Jitendra& Liaw, Siaw-Teng& Ray, Pradeep& Kumar, Manish& Dai, Hong-Jie& Hsu, Chien-Yeh. Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056228
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056228