A SURVEY ON PREDICTING THE WAITING TIME OF PATIENTS IN HOSPITALS
Sanjitha S Laad
, Dr.Mohammed Rafi M.E P.hD, Harshaverdana S BE, MTECH
P.G. STUDENT, Department of Studies in Computer science and engineering, UBDTCE, Davanagere, India
P.G. STUDENT, Department of Studies in Computer science and engineering, UBDTCE, Davanagere, India
Vol. 4, Issue 5 pp. 539-544 🌐 Open Access
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.
Keywords:
Apache spark, Big data, Machine learning, Hadoop, Random Forest(RF) algorithm., Cloud computing
