Hba1c Range Determination for Diabetes Treatment in Google Cloud Compute Engine and Serpapi

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Ramamurthy Valavandan
Hanumantha R.
Kumaraswamy Reddy
Prasanth Parayatham
Viram Sharma
Surasa Mukherjee
Vijay Yadav
Pragathi S.
Vijay R.
Nitin Ambekar
Dinesh Sai Teja Neeli
Santosh Baran
Vijender Singh
Praveen B.
Musheer Ahmed N.


In this paper, we have taken a use case in the healthcare domain for the determination of factors for an accurate range of HbA1c in diabetics’ treatment. Google Search Engine Application Program Interface (API), SerpAPI@ is evaluated for the execution of Compute engine in Google cloud. As a service in Infrastructure as a Service (IaaS), the Compute Engine gives the accurate value in HbA1c in the work orchestration in Airflow (astronomer) of Apache and Cloud Composer. We have also developed the application layer for every work stream in python and application output is stored in Google Cloud Storage. The accuracy of diabetic range determination is calculated in python as a measure for the healthcare practitioner to provide the right line of treatment for diabetic patients. A python program is developed to connect to the Google Search with a wrapper of SerpAPI in the Google Cloud Scheduler and create the JSON file schema for parameterization of Search Engine API. The results are shared with customers in the healthcare domain. We have also addressed the challenges of diabetic treatment during long-term Covid-19.

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How to Cite
Valavandan, R., R., H., Reddy, K., Parayatham, P., Sharma, V., Mukherjee, S., Yadav, V., S., P., R., V., Ambekar, N., Neeli, D. S. T., Baran, S., Singh, V., B., P. and Ahmed N., M. (2022) “Hba1c Range Determination for Diabetes Treatment in Google Cloud Compute Engine and Serpapi”, International Journal of Integrated Medical Research, 9(03), pp. 40–51. doi: 10.57181/ijoimr/vol9i03/47.
Research Article