Author:
Porwal Shrusti,Patel Chintal Kumar,Tilwani Deepa,Bansal Shri Krishn
Reference14 articles.
1. Vasileios T, Konstantinos K, Vasileios C, Athanasios K (2019) A comparative assessment of machine learning algorithms for events detection. https://doi.org/10.1109/SEEDA-CECNSM.2019.8908366 Piraeus, ©2019 IEEE
2. Susmita R (2019) A quick review of machine learning algorithms. ISBN: 978–1–7281–0212–2, https://doi.org/10.1109/COMITCon.2019.8862451, Faridabad india, ©2019 IEEE
3. Aljumah MGA, Mohammad KS (2013) Application of data mining: diabetes health care in young and old patients.J King Saud Univ—Comput Inf Sci25(2):127–136
4. Priyanka S, JayaMalini K (2019) Diabetes prediction using different machine learning approaches. IEEE Xplore Part Number: CFP19K25-ART; ISBN: 978–1–5386–7808–4
5. Lejla A, Hasan TA, Marelyn R, Muhammad AG, Khalid Q (2019) Predicting diabetes in healthy population through machine learning. 2372–9198/19/$31.00 ©2019 IEEE