Abstract
A pandemic is a disease outbreak that alarmingly affects a high percentage of people across the globe. Covid-19 is the most recent lethal disease that has caused global devastation. In addition to having a significant negative influence on people's socio-economic lives, it has marked a crucial impact on sustainable healthcare and the environment. Early detection of Covid-19 is essential for the effective management of the disease to halt its rapid spread. It enables the implementation of smart technologies for remote healthcare to safeguard public health. In light of this, the current work presents fuzzy logic-based smart, and sustainable healthcare system for the preliminary identification of Covid-19 patients based on their symptoms. After getting validated on several test subjects under the supervision of medical professionals, this support system appears to be an effective solution for the preliminary detection of Covid-19 in the home or clinical scenarios.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Symposium on Technology and Society, ISTAS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350324860 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 29th Annual IEEE International Symposium on Technology and Society, ISTAS 2023 - Swansea, United Kingdom Duration: 13 Sep 2023 → 15 Sep 2023 |
Publication series
| Name | International Symposium on Technology and Society, Proceedings |
|---|
Conference
| Conference | 29th Annual IEEE International Symposium on Technology and Society, ISTAS 2023 |
|---|---|
| Country/Territory | United Kingdom |
| City | Swansea |
| Period | 13/09/23 → 15/09/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Covid-19
- fuzzy logic
- healthcare
- pandemic
- pandemic-prone diseases
- sustainable
ASJC Scopus subject areas
- General Engineering
- General Social Sciences
