The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease
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Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.58871 · Cited by 4,260
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (2003) · Diabetes Care · doi:10.2337/diacare.26.2007.s5 · Cited by 2,689
De Backer, G. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00347-6 · Cited by 2,251
Haskell, W. L., Alderman, E. L., Fair, J. M., Maron, D. J., Mackey, S. F., Superko, H. R., Williams, P. T., Johnstone, I. M., Champagne, M. A., & Krauss, R. M. (1994) · Circulation · doi:10.1161/01.cir.89.3.975 · Cited by 884
Fuster, V (1994) · Circulation · doi:10.1161/01.cir.90.4.2126 · Cited by 848
Cited by
Mining electronic health records: towards better research applications and clinical care
Jensen, P. B., Jensen, L. J., & Brunak, S. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3208 · Cited by 1,680
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Ayala Solares, J. R., Diletta Raimondi, F. E., Zhu, Y., Rahimian, F., Canoy, D., Tran, J., Pinho Gomes, A. C., Payberah, A. H., Zottoli, M., Nazarzadeh, M., et al. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103337 · Cited by 247
Vijayashree, J., & Sultana, H. P. (2018) · Programming and Computer Software · doi:10.1134/s0361768818060129 · Cited by 130
Hearty, Á. P., & Gibney, M. J. (2008) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26619 · Cited by 86
Metadata
- Authors
- Kurt, I., Ture, M., & Kurum, A. T.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 34
- Issue
- 1
- Pages
- 366-374
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2142181701
- Cited by
- 410
- References
- 7
- FWCI
- 18.63
- Type
- journal article
- Language
- en
- Open access
- closed
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease. https://app.cochat.ai/papers/10.1016/j.eswa.2006.09.004
- The paper
- Kurt, I., Ture, M., & Kurum, A. T. (2008). Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2006.09.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
