Abstract
We introduce a functional prototype that detects medication names in a text-based electronic document and generates a Hyper Text Markup Language (HTML) file that contains links to websites about information of medications. We used the website, HealthCentral (http://www.healthcentral.com), as a resource of medication names of diabetes, Alzheimer, depression, cancer, and heart attack. This website provides the following five categories for each medication: uses and how to use, precautions and side effects, medication interactions, dosage and storage, and medication images. We aim to deploy our system to improve the readability of eHealth resources for older adults by providing hyperlinks of the medication names on any text-based electronic documents automatically.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 |
| Editors | Wai-Tat Fu, Kai Zheng, Larry Hodges, Gregor Stiglic, Ann Blandford |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 312 |
| Number of pages | 1 |
| ISBN (Electronic) | 9781509061174 |
| DOIs | |
| State | Published - 6 Dec 2016 |
| Event | 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 - Chicago, United States Duration: 4 Oct 2016 → 7 Oct 2016 |
Publication series
| Name | Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 |
|---|
Conference
| Conference | 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 4/10/16 → 7/10/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Medication information
- Older adults
- Text mining
- eHealth literacy
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