Detection of Diabetes in Pregnant Ladies Using ANN
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5221-0_41
Reference12 articles.
1. Sharma A (2021) Machine learning approach for detection of diabetic retinopathy with improved pre-processing. In: 2021 International conference on computing, communication, and intelligent systems (ICCCIS)
2. Odeh I, Alkasassbeh M, Alauthman M (2021) Diabetes retinopathy detection using ensemble machine learning. In: 2021 International conference on information technology (ICIT)
3. Chetoui M (2018) Diabetic retinopathy detection using machine learning and texture features. In: 2018 IEEE Canadian conference on electrical & computer engineering (CCECE)
4. Dharmana MM (2020) Pre-diagnosis of diabetic retinopathy using blob detection. In: Proceedings of the second international conference on inventive research in computing applications (ICIRCA-2020) IEEE Xplore Part Number: CFP20N67-ART; ISBN: 978-1-7281-5374-2
5. Appavu alias Balamurugan S (2021) A predictive risk level classifcation of diabetic patients using deep learning modifed neural network. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-020-02490-1
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