Title :
A disease forecast and early warning system based on electronic health records
Author :
Shunzhi Zhu ; Tingna Wang ; Guifang Shao
Author_Institution :
Dept. of Comput. Sci. & Technol., Xiamen Univ. of Technol., Xiamen, China
Abstract :
Disease forecast and early warning have been always important but difficult tasks. Because of the drawbacks of traditional records, the electronic health records, which bring in the ICD-lO, are used in our system. Input information are firstly de-duplicated to remove redundancy. After that, the system are used for disease early warning and forecast. The results show that the proposed system has great help for the health sector to prevent and control the diseases.
Keywords :
alarm systems; diseases; forecasting theory; medical information systems; redundancy; ICD-10; disease control; disease forecast and early warning system; disease prevention; electronic health records; health sector; input information deduplication; redundancy; Artificial neural networks; Computational modeling; Computers; Diabetes; Indexes; Market research; Standards; EHRs; data de-duplication; disease forecast; early warning;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6553900
