Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Patient Oriented Readability Assessment for Heart Disease Healthcare Documents

Patient Oriented Readability Assessment for Heart Disease Healthcare Documents
View Sample PDF
Author(s): Hui-Huang Hsu (Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan), Yu-Sheng Chen (National Taiwan Ocean University, Keelung, Taiwan), Chuan-Jie Lin (National Taiwan Ocean University, Keelung, Taiwan) and Tun-Wen Pai (National Taipei University of Technology, Taipei, Taiwan)
Copyright: 2020
Volume: 16
Issue: 1
Pages: 10
Source title: International Journal of Data Warehousing and Mining (IJDWM)
Editor(s)-in-Chief: David Taniar (Monash University, Australia)
DOI: 10.4018/IJDWM.2020010104


View Patient Oriented Readability Assessment for Heart Disease Healthcare Documents on the publisher's website for pricing and purchasing information.


Personal health literacy is an important indicator for a national health status. Providing citizens with sufficient medical knowledge can help them understand their own health conditions. To achieve this goal, an integrated system is developed for evaluating the readability of healthcare documents by taking heart disease as a specific topic. The mechanism can be extended to other target diseases and languages by changing the corresponding word databank. The assessment system for examining document readability is based on patient-oriented aspects rather than professional aspects. Commonly used terms and professional medical terms extracted from a query document were utilized as fundamental elements for readability analysis, and the derived features included term frequency of professional medical terms, proportion of professional medical terms, and diversity indicator of medical terms. A five-fold cross validation is applied to measure the robustness of the proposed approach. The experimental results achieved a recall rate of 0.93, a precision rate of 0.97, and an accuracy rate of 0.95.

Related Content

Fatma Abdelhedi, Amal Ait Brahim, Gilles Zurfluh. © 2021. 14 pages.
Sami Belkacem, Kamel Boukhalfa. © 2021. 24 pages.
Abdelilah Balamane. © 2021. 18 pages.
I.Jeena Jacob, Betty Paulraj, P. Ebby Darney, Hoang Viet Long, Tran Manh Tuan, Harold Robinson Yesudhas, Vimal Shanmuganathan, Golden Julie Eanoch. © 2021. 17 pages.
Neha Gupta, Sakshi Jolly. © 2021. 18 pages.
Christie I. Ezeife, Vignesh Aravindan, Ritu Chaturvedi. © 2020. 21 pages.
Diego Vilela Monteiro, Rafael Duarte Coelho dos Santos, Karine Reis Ferreira. © 2020. 17 pages.
Body Bottom