Cited by 341Internet of Things and AIInnovation in Digital Healthcare SystemsSmart Cities and Technologies

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Smart health: Big data enabled health paradigm within smart cities

Pramanik, Md Ileas, Lau, Raymond Y.K., Demirkan, Haluk, Azad, Md. Abul Kalam·2017·Expert Systems with Applications

DOI 10.1016/j.eswa.2017.06.027

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Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
An Introduction to MultiAgent Systems
Wooldridge, M. (2002) · Cited by 5,394
Untitled work
(2011) · Cited by 5,203
Big data analytics in healthcare: promise and potential
Raghupathi, W., & Raghupathi, V. (2014) · Health Information Science and Systems · doi:10.1186/2047-2501-2-3 · Cited by 3,034
The real-time city? Big data and smart urbanism
Kitchin, R. (2014) · GeoJournal · doi:10.1007/s10708-013-9516-8 · Cited by 2,794
Understanding Smart Cities: An Integrative Framework
Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., & Scholl, H. J. (2012) · 2012 45th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2012.615 · Cited by 2,599
Data mining with big data
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
Big Data, new epistemologies and paradigm shifts
Kitchin, R. (2014) · Big Data & Society · doi:10.1177/2053951714528481 · Cited by 2,355
An Introduction to Multi-Agent Systems
Balaji, P. G., & Srinivasan, D. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-14435-6_1 · Cited by 1,418
Robotic Surgery
Lanfranco, A. R., Castellanos, A. E., Desai, J. P., & Meyers, W. C. (2003) · Annals of Surgery · doi:10.1097/01.sla.0000103020.19595.7d · Cited by 1,309

Show all 100 references

Research works printed but not linked: 6

Cerrato, 2011, Hospital rooms get smart, Information Week
Ebel, 2013, Strengthening health care's supply chain: A five-step plan, McKinsey Quarterly, 1
Groves, 2013, The ‘big data’ revolution in healthcare, McKinsey Quarterly, 2, 10
MHCG, (2010). https://www.03.ibm.com/press/au/en/.
Qin, 2010, Development status of domestic and foreign smart city, Global Presence, 9, 50
Zhou, 2008, Semi-automatic segmentation of 3D liver tumors from CT scans using voxel classification and propagational learning, Vol. 41, 43

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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
ORCID: Pramanik, Md Ileas
Lau, Raymond Y.K.
Demirkan, Haluk
Azad, Md. Abul Kalam
Venue: Expert Systems with Applications
Publisher: Elsevier BV
Published: 2017-11
Volume: 87
Pages: 370-383
ISSN: 0957-4174 (ISSN-L)
DOI: 10.1016/j.eswa.2017.06.027
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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