Author:
Jyothi Saddi,Bhavana Addepalli,Haritha Kolusu,Chandrika Tumu Navya
Publisher
Springer Nature Singapore
Reference20 articles.
1. Mirza S, Mittal S, Zaman M (2018) Decision support predictive model for prognosis of diabetes using SMOTE and Decision tree. Int J Appl Eng Res 13(11):9277–9282. http://www.ripublication.com
2. Li X et al (2019) Predictive modeling of hypoglycemia for clinical decision support in evaluating outpatients with diabetes mellitus. Curr Med Res Opin 35(11):1885–1891. https://doi.org/10.1080/03007995.2019.1636016
3. Spänig S, Emberger-Klein A, Sowa J-P, Canbay A, Menrad K, Heider D (2019) The virtual doctor: an interactive artificial intelligence based on deep learning for non-invasive prediction of diabetes. arXiv
4. El-Sappagh S, Elmogy M, Ali F, Abuhmed T, Islam SMR Kwak KS (2019) A comprehensive medical decision–support framework based on a heterogeneous ensemble classifier for diabetes prediction. Electronics 8(6). https://doi.org/10.3390/electronics8060635
5. Das S, Mishra A, Roy P (2018) Automatic diabetes prediction using tree based ensemble learners. In: Proceedings of international conference…, vol 2, no 2, pp 485–490, 2018. https://www.researchgate.net/profile/Sujit-Das-16/publication/335856130_Automatic_Diabetes_Prediction_Using_Tree_Based_Ensemble_Learners/links/5d8068de92851c22d5dd3f03/Automatic-Diabetes-Prediction-Using-Tree-Based-Ensemble-Learners.pdf
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