- Published
- 2021-02-21
- Venue
- ICT Express, vol. 7, no. 4, pp. 432-439
- Cited by
- 493
- Open access
- Yes, gold
- DOI
- 10.1016/j.icte.2021.02.004
Abstract
Diabetes is a disease that has no permanent cure; hence early detection is required. Data mining, machine learning (ML) algorithms, and Neural Network (NN) methods are used in diabetes prediction in our research. We used the Pima Indian Diabetes (PID) dataset for our research, collected from the UCI Machine Learning Repository. The dataset contains information about 768 patients and their corresponding nine unique attributes. We used seven ML algorithms on the dataset to predict diabetes. We found that the model with Logistic Regression (LR) and Support Vector Machine (SVM) works well on diabetes prediction. We built the NN model with a different hidden layer with various epochs and observed the NN with two hidden layers provided 88.6% accuracy.
Cite this paper
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- APA 7
Khanam, J. J., & Foo, S. Y. (2021). A comparison of machine learning algorithms for diabetes prediction. ICT Express, 7(4), 432–439. https://doi.org/10.1016/j.icte.2021.02.004
- MLA 9
Khanam, Jobeda Jamal, and Simon Y. Foo. "A comparison of machine learning algorithms for diabetes prediction." ICT Express, vol. 7, no. 4, 2021, pp. 432–439, https://doi.org/10.1016/j.icte.2021.02.004.
- Chicago
Khanam, Jobeda Jamal, and Simon Y. Foo. "A comparison of machine learning algorithms for diabetes prediction." ICT Express 7, no. 4 (2021): 432–439. https://doi.org/10.1016/j.icte.2021.02.004.
- GOST
Khanam J. J., Foo S. Y. A comparison of machine learning algorithms for diabetes prediction // ICT Express. — 2021. — Vol. 7, № 4. — P. 432–439. — URL: https://doi.org/10.1016/j.icte.2021.02.004
- BibTeX
@article{khanam2021comparison, title = {{A comparison of machine learning algorithms for diabetes prediction}}, author = {Jobeda Jamal Khanam and Simon Y. Foo}, journal = {ICT Express}, year = {2021}, volume = {7}, number = {4}, pages = {432--439}, doi = {10.1016/j.icte.2021.02.004}, url = {https://doi.org/10.1016/j.icte.2021.02.004} }- RIS
TY - JOUR AU - Khanam, Jobeda Jamal AU - Foo, Simon Y. TI - A comparison of machine learning algorithms for diabetes prediction JO - ICT Express VL - 7 IS - 4 SP - 432 EP - 439 PY - 2021 DA - 2021/02/21 DO - 10.1016/j.icte.2021.02.004 UR - https://doi.org/10.1016/j.icte.2021.02.004 ER -