The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques
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Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
An Introduction to Statistical Learning
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013) · Springer Texts in Statistics · doi:10.1007/978-1-4614-7138-7 · Cited by 12,106
Kupper, L. L., Hosmer, D. W., & Lemeshow, S. (1990) · Journal of the American Statistical Association · doi:10.2307/2290035 · Cited by 7,599
Park, S. H., & Han, K. (2018) · Radiology · doi:10.1148/radiol.2017171920 · Cited by 894
Islam, M. Z., Islam, M. M., & Asraf, A. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100412 · Cited by 691
Self-citationDevelopment of Smart Healthcare Monitoring System in IoT Environment
Islam, M. M., Rahaman, A., & Islam, M. R. (2020) · SN Computer Science · doi:10.1007/s42979-020-00195-y · Cited by 592
Self-citationPerformance evaluation of different machine learning techniques for prediction of heart disease
Dwivedi, A. K. (2018) · Neural Computing and Applications · doi:10.1007/s00521-016-2604-1 · Cited by 386
Introduction to Machine Learning with Python
Müller, A. C. (2016) · Cited by 340
Prediction of benign and malignant breast cancer using data mining techniques
Chaurasia, V., Pal, S., & Tiwari, B. (2018) · Journal of Algorithms & Computational Technology · doi:10.1177/1748301818756225 · Cited by 329
Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis
Yue, W., Wang, Z., Chen, H., Payne, A., & Liu, X. (2018) · Designs · doi:10.3390/designs2020013 · Cited by 303
Metadata
- Authors
- Islam, M. M., Haque, M. R., Iqbal, H., Hasan, M. M., Hasan, M., & Kabir, M. N.
- Venue
- SN Computer Science
- Published
- 2020-09
- Volume
- 1
- Issue
- 5
- ISSN
- 2661-8907 (ISSN-L)
- 2662-995X
- OpenAlex
- W3083171672
- Cited by
- 361
- References
- 26
- FWCI
- 36.89
- 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.
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- CoChat. (2026). Citation check: Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques. https://app.cochat.ai/papers/10.1007/s42979-020-00305-w
- The paper
- Islam, M. M., Haque, M. R., Iqbal, H., Hasan, M. M., Hasan, M., & Kabir, M. N. (2020). Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques. SN Computer Science. https://doi.org/10.1007/s42979-020-00305-w
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.
