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Dhillon A, Singh A, Vohra H, Ellis C, Varghese B, Gill SS. IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing. ENTERP INF SYST-UK 2020. [DOI: 10.1080/17517575.2020.1820583] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Arwinder Dhillon
- Computer Science and Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India
| | - Ashima Singh
- Computer Science and Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India
| | - Harpreet Vohra
- Electronics and Communication Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India
| | - Caroline Ellis
- Department of Anaesthesia, Princess Alexandra Hospital NHS Trust, Harlow, UK
| | - Blesson Varghese
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK
| | - Sukhpal Singh Gill
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
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