Comparative Evaluation of Machine Learning Models for the Prediction of Diabetes at Early Stage
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1653-3_28
Reference28 articles.
1. Mahboob Alam T, Iqbal MA, Ali Y, Wahab A, Ijaz S, Imtiaz Baig T, Hussain A, Malik MA, Raza MM, Ibrar S, Abbas Z (2019) A model for early prediction of diabetes. Informatics Med Unlocked 16:100204
2. Oladimeji O, Oladimeji A, Oladimeji O (2021) Classification models for likelihood prediction of diabetes at early stage using feature selection. Appl Comput Informatics
3. World Health Organization. Diabetes fact sheet. www.who.int/news-room/fact-sheets/detail/diabetes. Accessed 2021-09-11
4. Metzger B, Lowe L, Dyer A, Trimble E, Chaovarindr U, Coustan D, Hadden D, McCance D, Hod M, Mclntyre HJO, Persson B, Rogers M, Sacks D (2008) Hyperglycemia and adverse pregnancy outcomes. New England J Med 358:1991–2002
5. Sneha N, Gangil T (2019) Analysis of diabetes mellitus for early prediction using optimal features selection. J Big Data 6
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