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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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