A SURVEY ON PREDICTING THE WAITING TIME OF PATIENTS IN HOSPITALS

Authors

  • Sanjitha S Laad P.G. STUDENT, Department of Studies in Computer science and engineering, UBDTCE, Davanagere
  • Dr.Mohammed Rafi M.E P.hD ASSOCIATE PROFESSOR, Department of Studies in Computer science and engineering, UBDTCE, Davanagere
  • Harshaverdana S BE, MTECH ASSISTANT PROFESSOR , Department of Studies in Computer science and engineering, BIET, Hydrabad

Keywords:

Apache spark, Big data, Machine learning, Hadoop, Random Forest(RF) algorithm., Cloud computing

Abstract

Patients wait delay and patient overcrowding is one of the major challenges faced by hospitals. Waiting time
increases the frustration on patients. Patient Queue Management and wait time prediction form challenging and
complicated job because each patient might require different phases and operations such as check-up and various
tests. Based on large scale, realistic dataset, the treatment time of each patient in the queue is predicted. We use an
Apache Spark-based cloud implementationand Machine learning techniques to achieve the aforementioned goals.

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Published

2017-05-25

How to Cite

Sanjitha S Laad, Dr.Mohammed Rafi M.E P.hD, & Harshaverdana S BE, MTECH. (2017). A SURVEY ON PREDICTING THE WAITING TIME OF PATIENTS IN HOSPITALS. International Journal of Advance Research in Engineering, Science & Technology, 4(5), 539–544. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1567

Issue

Vol. 4 No. 5 (2017): Volume: 04, Issue: 05 - May, 2017.

Section

Articles