Cloud based DevOps Framework for Identifying Risk Factors of Hospital Utilization

• URL: http://arxiv.org/abs/2504.14097v1
• Date: Fri, 18 Apr 2025 22:45:12 GMT
• Title: Cloud based DevOps Framework for Identifying Risk Factors of Hospital Utilization
• Authors: Monojit Banerjee, Akaash Vishal Hazarika, Mahak Shah,
• Abstract summary: This study aims to investigate the integration of continuous integration and deployment (CI/CD) practices in data science.<n>An end-to-end cloud-based DevOps framework is proposed for data analysis which examines risk factors associated with hospital utilization.<n>The framework can be especially useful for sparse dataset domains such as environmental science, robotics, cybersecurity, and cultural heritage and arts.
• Score: 0.0
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: A scalable and reliable system is required to analyze the National Health and Nutrition Examination Survey (NHANES) data efficiently to understand hospital utilization risk factors. This study aims to investigate the integration of continuous integration and deployment (CI/CD) practices in data science workflows, specifically focusing on analyzing NHANES data to identify the prevalence of diabetes, obesity, and cardiovascular diseases. An end-to-end cloud-based DevOps framework is proposed for data analysis which examines risk factors associated with hospital utilization and evaluates key hospital utilization metrics. We have also highlighted the modular structure of the framework that can be generalized for any other domains beyond healthcare. In the framework, an online data update method is provided which can be extended further using both real and synthetic data. As such, the framework can be especially useful for sparse dataset domains such as environmental science, robotics, cybersecurity, and cultural heritage and arts.

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