Abstract
The industry4.0 includes various technologies with real-world implementation of the people requirements like Big Data and Analytics which provides advanced capabilities to store and process huge amounts of the data, the entire process optimizes the decision making in the internal process. In the context of the health care starting from suggesting the doctor consultation, diet plan to the patients, workouts, day to day tracking of the reports and modifying the medication according to the reports along with weekly, monthly monitoring of the improvement of the patient condition as per the expectation. This entire process needs the source data such as patient complete information, prescription, food habits, exercise schedule, social habits like smoking and drinking, age of the person, stress levels, based on this information only the analysis of the data and suggesting the proper medication along with the suitable medication is possible. In this work we are trying to explore out and out flow of the health care data management with the technologies like Hadoop and Spark based architectures. The suitability here is to store huge amounts of the data the best filesystem is Hadoop and to process the data in the fastest manner is possible through spark usage, the outcome of the work is efficient management of the health care data of the patients by storing with Hadoop and processing of the data to provide analysis of the patient tracking for the achievement of stable health conditions in the optimized way.
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Kumar Kethavarapu, U., Kumar Mannepalli, P., Lakshma Reddy, B., Siva Prasad, P., Mishra, A., Nagavarapu, S. (2023). Artificial Intelligence Based Querying of Healthcare Data Processing. In: Mishra, A., Lin, J.CW. (eds) Industry 4.0 and Healthcare . Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-99-1949-9_9
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DOI: https://doi.org/10.1007/978-981-99-1949-9_9
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