• K Naga Sai Jashwanth Kiran
• P Mahesh Reddy
• B Madhan
• T Sai Siddharth
• C K Indira

BDA is a rapidly expanding discipline that has begun to become crucial to the development of medical procedures and academic analysis. In the realistic world, where significant amounts of data are occasionally gathered, the healthcare business is a necessary component. The healthcare business generates a wealth of informative data. For data mining and to extract business insights, an in-depth big data approach is required. Big data analytics has many advantages in the healthcare industry, including the ability to identify serious illnesses early on and provide better medical care to the appropriate patient at correct time to enhance quality of life. The effectiveness of BDA is presented in this analysis by an interactive healthcare prediction and recommendation system. The software for big data analytics in interactive healthcare is evaluated for a variety of simulated patient inquiries, employing data ingested into the Hadoop file system and several Apache Spark and web-based Zeppelin apps. The findings indicated that Hadoop required about two hours to process one billion records. Compared to Spark and Zeppelin, Hadoop Distributed File System (HDFS) performed better. When making predictions, MAE (Mean Absolute Error) value is taken into account for patient and physician suggestions.

: Big Data Analytics (BDA), Healthcare, recommender system, web-based interfaces.

"Performance of Big Data Analytics for Interactive Healthcare Prediction and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.h881-h886, June-2024, Available :http://www.jetir.org/papers/JETIR2406794.pdf

"Performance of Big Data Analytics for Interactive Healthcare Prediction and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pph881-h886, June-2024, Available at : http://www.jetir.org/papers/JETIR2406794.pdf