Gestational Diabetes Detection Using Machine Learning Algorithm: Research Challenges of Big Data and Data Mining

Authors

  • K. Arun Kumar Assistant Professor, Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupathi
  • R. Rajalakshmi Department Of Ece , Panimalar Engineering College, Chennai , India
  • Shashikala H. K. Assistant Professor, Department Of Computer Science And Engineering Jain(Deemed-To-Be University), Bangalore, India
  • Maithli Ganjoo Prof And Dean, Faculty Of Media Studies And Humanities, Manav Rachna International Institute Of Research And Studies, Faridabad
  • Aman Vats Professor And Hod, Department Of Journalism And Mass Communication, Faculty Of Media Studies And Humanities, Manav Rachna International Institute Of Research And Studies, Faridabad
  • Rajneesh Tyagi Department Of Agriculture, Sanskriti University, Mathura, Uttar Pradesh, India

Keywords:

Gestational diabetes Mellitus, machine learning technique, big data, data mining analytics, convolutional neural networks

Abstract

The prevalence of gestating moms from various countries and ethnic groups worldwide who have gestational diabetes mellitus (GDM), a disorder characterised by abnormally high blood glucose levels, has rapidly increased. This research propose novel technique in gestational diabetes detection using machine learning technique in big data with data mining analytics. Here the input has been collected as data of pregnant women for diabetes prediction. This data has been processed for dimensionality reduction and normalization. Then it has been segmented and feature fused using attention mechanism based weighted convolutional neural networks. The experimental analysis has been carried out in terms of accuracy, precision, recall, F-1 score and AUC. Proposed technique attained accuracy of 96%, precision of 92%, recall of 85% and F_1 score of 89%, AUC of 71%.

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References

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Published

19.12.2022

How to Cite

K. Arun Kumar, R. Rajalakshmi, Shashikala H. K., Maithli Ganjoo, Aman Vats, & Rajneesh Tyagi. (2022). Gestational Diabetes Detection Using Machine Learning Algorithm: Research Challenges of Big Data and Data Mining. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 260 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2396

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

License

Copyright (c) 2022 K. Arun Kumar, R. Rajalakshmi, Shashikala H. K., Maithli Ganjoo, Aman Vats, Rajneesh Tyagi

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