Machine Learning for Diabetes Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8338-2_50
Reference13 articles.
1. Kannadasan K, Damodar E, Venkatanareshbabu K (2019) Type 2 diabetes data classification using stacked auto encoders in deep neural networks. Clin. Epidemiol. Global Health 7(4):530–535
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3. Qawqzeh YK, Bajahzar AS, Jemmali M, Otoom MM, Thaljaoui A (2020) Classification of diabetes using photoplethysmogram (PPG) waveform analysis: logistic regression modeling. Hindawi BioMed Res Int. https://doi.org/10.1155/2020/3764653
4. Maalouf M (2011) Logistic regression in data analysis: an overview. Int J Data Anal Tech Strat
5. Zhang Y (2012) Support vector machine classification algorithm and its application. In: International conference on information computing and applications
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