Cited by 110Artificial Intelligence in HealthcareDialysis and Renal Disease ManagementData Mining Algorithms and Applications

Using data mining techniques to predict hospitalization of hemodialysis patients

Yeh, Jinn-Yi, Wu, Tai-Hsi, Tsao, Chuan-Wei·2011·Decision Support Systems

Integrity signals

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Crossref · 10.1016/j.dss.2010.11.001

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29 of 29 references verified0 citation errors · 0 not checkable

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  • Predictive models in healthcare include blood glucose level prediction, mortality prediction by clustering electronic health data, and a predictive decision making system for dialysis patients.

    “A similar example of using predictive models in healthcare are: blood glucose level prediction [23], mortality prediction by clustering electronic health data [40], and a predictive decision making system for dialysis patients [41].”
  • The C4.5 algorithm is used when dealing with complex and noisy data; it estimates the error rate of initial nodes and prunes the tree to make a more efficient sub-tree.

    “Nowadays, upon dealing with complex and noisy data, the C4.5 algorithm is used which is estimating the error rate of initial nodes and pruning the tree to make a more efficient sub-tree [41,51].”

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Authors
Yeh, J.-Y., Wu, T.-H., & Tsao, C.-W.
Affiliations
  • National Chiayi University (TW)
  • National Taipei University (TW)
Corresponding author
Yeh, Jinn-Yi
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2011-01
Volume
50
Issue
2
Pages
439-448
ISSN
0167-9236 (ISSN-L)
OpenAlex
W2060695172
Cited by
110
References
30
Citations by year
2025: 5 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 8 · 2020: 8 · 2019: 8 · 2018: 12 · 2017: 12 · 2016: 9 · 2015: 11 · 2014: 8 · 2013: 6 · 2012: 7
FWCI
9.58
Type
journal article
Language
en
Open access
closed
Locations
Decision Support Systems (publishedVersion)
Funders
National Science Council
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
Keywords
hemodialysis, hospitalization prediction, temporal abstraction, temporal patterns, biochemical data, decision support system, clinical decision support

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