Techniques for Diabetes Care Using Artificial Intelligence and Machine Learning: A Review
DOI:
https://doi.org/10.51983/ajcst-2022.11.1.3291Keywords:
Diabetes Care, Artificial Intelligence, Machine Learning, TechniquesAbstract
All aspects of our lives, including healthcare, are being reshaped by AI/ML (Artificial Intelligence/Machine Learning). Diabetic treatment might benefit greatly from the use of AI and ML, which could make it more effective and less time-consuming. In terms of data availability, the large number of diabetics in India brings a unique set of challenges, but it also gives an opportunity. With the use of electronic medical records, India may become a world leader in this field. The use of AI/ML might shed light on our issues and help us come up with solutions that are unique to each.
References
T. Chardonnens, "Big Data analytics on high velocity streams Specific use cases with Storm eXascale," Information Lab Benoit Perroud Veri Sign Inc, 2013.
C. Ramirez, M. Nagappan, and M. Mirakhorli, "Studying the impact of evolution in R libraries on software engineering research. Software Analytics (SWAN)," in IEEE 1st International Workshop, pp. 29-30, 2015.
N. Kitcharoen, S. Kamolsantisuk, R. Angsomboon, and T. Achalakul, "Rapid Miner framework for manufacturing data analysis on the Cloud," in Computer Science and Software Engineering (JCSSE), 10th International Joint Conference, pp. 149-154, 2013.
Z. A. Vale, C. Ramos, S. Ramos, and T. Pinto, "Data mining applications in power systems: Case-studies and future trends," in Transm Distrib Conf Expo Asia Pacific, pp. 1-4, 2009. DOI: 10.1109/TDASIA.2009.5356830.
Johann M. Kraus and Hans A. Kestler, "A Highly Efficient Multi-Core Algorithm for Clustering Extremely Large Datasets," BMC Bioinformatics, Vol. 11, No. 169, 2010.
Kanchan M. Tarwani, Saleha S. Saudagar, and Harshal D. Misalkar, "Machine Learning in Big Data Analytics: An Overview," International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, No. 4, pp. 270-274, 2015.
Stephen Kaisler, Frank Armour, J. Alberto Espinosa, and William Money, "Big Data: Issues and Challenges Moving Forward," 46th Hawaii International Conference, IEEE, pp. 995-1004, 2013.
Sadhana and Savitha Shetty, "Analysis of Diabetic Data Set Using Hive and R," International Journal of Emerging Technology and Advanced Engineering, Vol. 4, No. 7, 2014.
S. Vikram Phaneendra and E. Madhusudhan Reddy, "Big Data- solutions for RDBMS problems - A survey," in 12th IEEE/IFIP Network Operations & Management Symposium, 2013.
Kiran Kumara Reddi and Dnvsl Indira, "Different Technique to Transfer Big Data: Survey," IEEE Transactions, Vol. 52, No. 8, 2013.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.