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Smart health: Big data enabled health paradigm within smart cities
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“In addition, the development of new pharmaceutical drugs and vaccines has been made possible using various applications of ML algorithms - for example, Google has begun work on pharmaceutical drug development using ML methods and techniques (Pramanik et al., 2017).”
From IoMT amid COVID-19 pandemic: Application, architecture, technology, and security (2021) · cites this paper as Pramanik et al., 2017
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Metadata
- Authors
- Pramanik, M. I., Lau, R. Y. K., Demirkan, H., & Azad, M. A. K.
- Affiliations
- City University of Hong Kong (HK)
- University of Washington Tacoma (US)
- Begum Rokeya University (BD)
- Corresponding author
- Pramanik, Md Ileas
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 87
- Pages
- 370-383
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2711661370
- Cited by
- 341
- References
- 100
- Citations by year
- 2026: 10 · 2025: 19 · 2024: 29 · 2023: 40 · 2022: 55 · 2021: 66 · 2020: 50 · 2019: 36 · 2018: 31 · 2017: 5
- FWCI
- 62.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- University of Washington Tacoma Digital Commons (University of Washington Tacoma) (submittedVersion)
- Funders
- Research Grants Council (CityU 11502115, CityU 11525716)
- NSFC (71671155)
- Shenzhen Municipal Science and Technology R&D Funding (JCYJ20160229165300897)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Keywords
- big data, smart healthcare, smart cities, healthcare business models, paradigm shift, three-dimensional structure, ubiquitous computing, healthcare innovation, organizational strategy
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