This paper is published in Volume-5, Issue-3, 2019
Area
Big Data Analytics
Author
Milan Bekal
Co-authors
Abishek Manikandan, Ayushman Tewari, Pallavi G. B.
Org/Univ
BMS College of Engineering, Bengaluru, Karnataka, India
Pub. Date
17 May, 2019
Paper ID
V5I3-1415
Publisher
Keywords
PTTP, HQR, Time management, Regression tree algorithm, Random forest algorithm

Citationsacebook

IEEE
Milan Bekal, Abishek Manikandan, Ayushman Tewari, Pallavi G. B.. A parallel patient treatment algorithm and it's application in hospital queuing recommendation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Milan Bekal, Abishek Manikandan, Ayushman Tewari, Pallavi G. B. (2019). A parallel patient treatment algorithm and it's application in hospital queuing recommendation. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Milan Bekal, Abishek Manikandan, Ayushman Tewari, Pallavi G. B.. "A parallel patient treatment algorithm and it's application in hospital queuing recommendation." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

A patient queue management system to minimize patient wait time, delays and patient overcrowding is one of the major challenges faced by hospitals. Redundant and bothersome waits for long periods result in substantial human resource and time wastage and increase the frustration endured by patients. Therefore, we recommend a Patient Treatment Time Prediction (PTTP) algorithm to predict the waiting time for each treatment task for a patient. Based on the predicted waiting time, a Hospital Queuing-Recommendation (HQR) system is developed. HQR calculates and predicts an efficient and suitable treatment plan recommended for the patient.
Paper PDF