The DOI matches its Crossref record; 28 of the 30 references it cites were found in a registry or an index.
Using data mining techniques to predict hospitalization of hemodialysis patients
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [41]
In the citing paper
“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].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [41]
Citations
Cites
Data mining: concepts and techniques
Sharma, R., Shah, K., Shirahatti, Y., Patel, S., Sharma, R., Shah, K., Patel, S., Sharma, R., & Han, J. (2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,665
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,543
Witten, I. H. (2008) · Cited by 9,143
(1996) · Cited by 4,738
Data Mining: Concepts and Techniques
Thamaraiselvi, G., & Kaliammal, A. (2014) · Journal of Information and Knowledge · Cited by 4,088
Towards a general theory of action and time
Allen, J. F. (1984) · Artificial Intelligence · doi:10.1016/0004-3702(84)90008-0 · Cited by 2,596
Data Mining: Concepts, Models, Methods, and Algorithms
(2003) · Technometrics · doi:10.1198/tech.2003.s785 · Cited by 1,369
Predictive data mining in clinical medicine: Current issues and guidelines
BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.11.006 · Cited by 823
Mining association rules with multiple minimum supports
Liu, B., Hsu, W., & Ma, Y. (1999) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/312129.312274 · Cited by 739
A Framework for Knowledge-Based Temporal Abstraction
Shahar, Y. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(96)00025-2 · Cited by 461
Research works printed but not linked: 1
- G. Q. Hong, Multiple-minimum-support association rule mining for hospitalization prediction of hemodialysis patients, M.S. thesis, Department of Information Engineering, National Tung Hua University, Taiwan, 2004.
Cited by
Sorted by citations
Data mining techniques and applications – A decade review from 2000 to 2011
Liao, S.-H., Chu, P.-H., & Hsiao, P.-Y. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.02.063 · Cited by 704
Artificial Intelligence in Health Care: Bibliometric Analysis
Guo, Y., Hao, Z., Zhao, S., Gong, J., & Yang, F. (2020) · Journal of Medical Internet Research · doi:10.2196/18228 · Cited by 512
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452
Big data analytics for preventive medicine
Razzak, I., Imran, M. A., & Xu, G. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04095-y · Cited by 362
Comparison of three data mining models for predicting diabetes or prediabetes by risk factors
Meng, X., Huang, Y., Rao, D., Zhang, Q., & Liu, Q. (2012) · The Kaohsiung Journal of Medical Sciences · doi:10.1016/j.kjms.2012.08.016 · Cited by 296
Metadata
- 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
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 ›
Are you an author, or do you see a problem with this page? Request a review