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A fuzzy inference- fuzzy analytic hierarchy process-based clinical decision support system for diagnosis of heart diseases
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“Table 3 shows that the proposed technique has better AUC values compared with the existing works [24], [25].”
From A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS (2020) · cites this paper as [24]
Citations
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Metadata
- Authors
- Nazari, S., Fallah, M., Kazemipoor, H., & Salehipour, A.
- Affiliations
- Islamic Azad University of Parand (IR)
- Islamic Azad University Central Tehran Branch (IR)
- University of Technology Sydney (AU)
- Corresponding author
- Kazemipoor, Hamed
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 95
- Pages
- 261-271
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2765435434
- Cited by
- 146
- References
- 32
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 14 · 2023: 18 · 2022: 24 · 2021: 24 · 2020: 24 · 2019: 22 · 2018: 6
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Keywords
- clinical decision support systems, heart disease diagnosis, fuzzy analytic hierarchy process, fuzzy inference system, expert systems, multi-criteria decision making, patient risk assessment
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