Publication Type:

Conference Paper

Source:

Procedia Computer Science ICICT 2014, Elsevier (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84931404231&partnerID=40&md5=38646c7fb2814d15e71503246f014b22

Keywords:

Back propagation neural networks, Backpropagation, Backpropagation algorithms, Error convergence, Forecasting, Health care, Health-care system, length of stay, Neural networks, Optimization, Particle swarm optimization (PSO), Prediction model, Stochastic optimization techniques

Abstract:

Length of stay of an inpatient reflects the severity of illness as well as the practice patterns of the hospital. Predicting the length of stay will provide a better perception of the different resources consumed in a healthcare system. Neural network trained using back propagation has been discerned as a successful prediction model in healthcare systems 1. In this paper, a robust stochastic optimization technique called Particle Swarm Optimization (PSO) is compared with back propagation for training. The algorithms were evaluated based on error convergence, sensitivity, specificity, positive precision value and accuracy and corresponding results are presented. © 2015 The Authors.

Cite this Research Publication

A. Suresh, Harish, K. V., Radhika, N., Samuel P., James R.K., Raj S., and B., P., “Particle Swarm Optimization over back propagation neural network for length of stay prediction”, in Procedia Computer Science ICICT 2014, 2015.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
9th
RANK(INDIA):
NIRF 2017
150+
INTERNATIONAL
PARTNERS
  • Amrita on Social Media

  • Contact us

    Amrita Vishwa Vidyapeetham
    Amritanagar, Coimbatore - 641 112
    Tamilnadu, India