The Assistance for Drug Dispensing Using LED Notification and IR Sensor-based Monitoring Methods

Han, Chin‐Chuan; Lin, Hao-Pu; Chang, Chao-Hsu; Lee, Chang-Hsing; Shih, Jau-Ling; Hsu, Chun-Sheng; Chang, Jen-Chih

doi:10.1109/icawst.2018.8517168

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This issue is important because the vaccination performances of different COVID-19 vaccination locations may not be the same. According to reports, 2–3 some vaccination locations have issued the wrong brands of COVID-19 vaccines, 4 undiluted COVID-19 vaccines, or other types of vaccines (e.g. a cold vaccine).…”

Section: Introductionmentioning

confidence: 99%

An intelligent system for assisting personalized COVID-19 vaccination location selection: Taiwan as an example

Lin

Chen

2022

DIGITAL HEALTH

View full text Add to dashboard Cite

In many regions of the world, with the gradual increase in the supply of COVID-19 vaccines, COVID-19 vaccination has changed from centralized government control to personalized selection. When choosing a location for COVID-19 vaccination, in addition to subjective preferences, objective information (such as the expected waiting time at a COVID-19 vaccination location and the crowdedness and reliability of the vaccination location) also need to be considered. However, it is not convenient for an individual to collect and compare such information. To address this issue, this research applies web content mining to extract the conditions of COVID-19 vaccination locations. Then, a novel asymmetric calibrated fuzzy inverse of column sum and fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje recommendation mechanism is proposed. Finally, an intelligent system is developed to assist a user in selecting a personalized COVID-19 vaccination location. In a regional experiment conducted in Taichung City, Taiwan, the developed intelligent system was applied to assist 20 users in choosing personalized COVID-19 vaccination locations. The successful recommendation rate was 95%.

show abstract

Section: Introductionmentioning

confidence: 99%