The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Classification and prediction of diabetes disease using machine learning paradigm
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 13,988
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
The Emerging Risk Factors Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)60484-9 · Cited by 5,125
Danaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., Lin, J. K., Farzadfar, F., Khang, Y.-H., Stevens, G. A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60679-x · Cited by 3,568
Variable selection using random forests
Genuer, R., Poggi, J.-M., & Tuleau-Malot, C. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.03.014 · Cited by 2,619
Cover, T. M. (1965) · IEEE Transactions on Electronic Computers · doi:10.1109/pgec.1965.264137 · Cited by 2,044
Cited by
Zhu, Y., Zhang, M., Huang, Q., Wu, X., Wan, L., & Huang, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-87285-0 · Cited by 42
AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
Stylianides, C., Nicolaou, A., Sulaiman, W. A., Alexandropoulou, C.-A., Panagiotopoulos, I., Karathanasopoulou, K., Dimitrakopoulos, G., Kleanthous, S., Politi, E., Ntalaperas, D., et al. (2025) · Machine Learning and Knowledge Extraction · doi:10.3390/make7010006 · Cited by 28
Afrash, M. R., Rahimi, F., Kazemi-Arpanahi, H., Shanbezadeh, M., Amraei, M., & Asadi, F. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.101135 · Cited by 8
Artificial intelligence in diabetes management
Thomas, A., Gopi, V. P., & Francis, B. (2024) · Advances in Artificial Intelligence · doi:10.1016/b978-0-443-19073-5.00002-1 · Cited by 3
Metadata
- Authors
- Maniruzzaman, M., Rahman, M. J., Ahammed, B., & Abedin, M. M.
- Venue
- Health Information Science and Systems
- Published
- 2020-01-03
- Volume
- 8
- Issue
- 1
- Pages
- 7-7
- ISSN
- 2047-2501 (ISSN-L)
- OpenAlex
- W2997606798
- Cited by
- 369
- References
- 48
- FWCI
- 39.35
- Type
- journal article
- Language
- en
- Open access
- green
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- Maniruzzaman, M., Rahman, M. J., Ahammed, B., & Abedin, M. M. (2020). Classification and prediction of diabetes disease using machine learning paradigm. Health Information Science and Systems. https://doi.org/10.1007/s13755-019-0095-z
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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.
