• Vijaya Kumar A V
• Karishma
• Karthik K M
• M Mamatha Patil
• Rekha B

In Today’s busy life everyone get illness in all the days where ever you go all Hospitals & Clinics are very busy and crowded but all people are very busy with their time schedule and with their work hence we propose system like “Parallel Patient Treatment Time Prediction”. Overcrowding is the issues we are facing in Hospitals which they are facing long periods results in substantial resources and wasting of time and becomes greater frustration endured by the Patients. It would be agreeable and better if the patients could receive the well planned treatment and know the predicted waiting time through a mobile application that updates in real time. So, a simple, user friendly and vigorous software is helpful for both Hospitals and as well as patients. Therefore, we propose a Patient Treatment Time Prediction (PTTP) algorithm predicts the waiting time for each activities. We collect the data of a various hospitals and patients such that, we can predict and analyze that data from software realistic dataset, then the current queue of each activities or task the predicted treatment time is collected. On the basis of this predicted waiting time, the Hospital Queuing-Recommendation (HQR) is developed. HQR going to calculates and predicts the well and suitable treatment plan for the patients. Because of large scale, realistic dataset and the requirement for real-time response, the PTTP algorithm and HQR system mandate efficiency and reduce the latency response. Extensive experimentation and simulation results says the effectiveness and applicability of this model for patients to minimize their waiting time on hospitals.

Apache spark, Big data, Cloud Computing, Hospital Queuing Recommendation, Patient Treatment Time Prediction.

"A Parallel Patient Treatment Time Prediction Algorithm and Its Application in Hospitals Queuing-Recommendation in a Big Data Environment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.216-219, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06048.pdf

"A Parallel Patient Treatment Time Prediction Algorithm and Its Application in Hospitals Queuing-Recommendation in a Big Data Environment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp216-219, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06048.pdf