Cited by 89Recommender Systems and TechniquesInnovation in Digital Healthcare SystemsDecision Support System Applications

A cloud based health insurance plan recommendation system: A user centered approach

Abbas, Assad, Bilal, Kashif, Zhang, Limin, Khan, Samee U.·2015·Future Generation Computer Systems

Integrity signals

Registry

Crossref · 10.1016/j.future.2014.08.010

Cites

48 of 48 references verified0 citation errors · 0 not checkable

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  • Unstructured data mostly requires NLP technique to be applied to make it structured and processable by computers.

    “On the other hand unstructured data mostly requires NLP (for hand written prescriptions) technique to be applied to make it structured (detail is provided in Section III) and processable by computers [90], [91].”

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Authors
Abbas, A., Bilal, K., Zhang, L., & Khan, S. U.
Affiliations
  • North Dakota State University (US)
  • COMSATS University Islamabad (PK)
Corresponding author
Khan, Samee U.
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2015-02
Volume
43-44
Pages
99-109
ISSN
0167-739X (ISSN-L)
OpenAlex
W2107084504
Cited by
89
References
48
Citations by year
2026: 3 · 2025: 1 · 2024: 4 · 2023: 8 · 2022: 9 · 2021: 9 · 2020: 8 · 2019: 11 · 2018: 12 · 2017: 7 · 2016: 9 · 2015: 7 · 2014: 1
FWCI
22.17
Type
journal article
Language
en
Open access
closed
Locations
Future Generation Computer Systems (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
Keywords
personalized recommendation, cloud computing, multi-attribute utility theory, health insurance exchanges, data as a service, software as a service, user-centered design

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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.

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