Page 241 - Data Science Algorithms in a Week
P. 241

Managing Overcrowding in Healthcare using Fuzzy Logic          225

                       Johnson, K. D., & Winkelman, C. (2011). The effect of emergency department crowding
                          on patient outcomes: a literature review. Advanced emergency nursing journal, 33(1),
                          39-54.
                       MOH.  (2014).  Statistical  Year  Book.  Retrieved  from  http://www.moh.gov.sa/
                          en/Ministry/Statistics/book/Documents/Statistical-Book-for-the-Year-1435.pdf
                       Reeder,  T.  J.,  &  Garrison,  H.  G.  (2001).  When  the  Safety  Net  Is  Unsafe  Real‐time
                          Assessment  of  the  Overcrowded  Emergency  Department.  Academic  Emergency
                          Medicine, 8(11), 1070-1074.
                       Sivanandam,  S.,  Sumathi,  S.,  &  Deepa,  S.  (2007).  Introduction  to  fuzzy  logic  using
                          MATLAB (Vol. 1): Springer.
                       Weiss, S. J., Derlet, R., Arndahl, J., Ernst, A. A., Richards, J., Fernández‐Frankelton, M.,
                          Levy, D. (2004). Estimating the degree of emergency department overcrowding in
                          academic  medical  centers:  results  of  the  National  ED  Overcrowding  Study
                          (NEDOCS). Academic Emergency Medicine, 11(1), 38-50.


                                                AUTHORS’ BIOGRAPHIES

                          Dr. Abdulrahman Albar is an Assistant Professor in the Department of Industrial
                       Engineering  at  Jazan  University.  He  received  a  Bachelor’s  degree  in  Industrial
                       Engineering from King Abdulaziz University in 2008, and a Master’s degree in Industrial
                       Engineering from the University of Central Florida (UCF) in 2012. He received a Ph.D.
                       in Industrial Engineering from UCF in 2016. His research interests focus on operations
                       management,  intelligent  decision  systems,  business  intelligence,  and  applications  of
                       quality  systems  in  service  industry.  His  experience  includes  Prince  Mohammed  Bin
                       Fahad Program for Strategic Research and Studies, UCF, and ASQ.

                          Dr. Ahmad Elshennawy is a Professor in the Department of Industrial Engineering
                       at University of Central Florida. He is the Graduate Program Director. He received his
                       Ph.D. in Industrial Engineering from Penn State in 1987. He is a Certified Six Sigma
                       Master Black Belt by The Harrington Institute and a Fellow of the American Society for
                       Quality  (ASQ).  He  has  4  books,  more  than  50  journal  articles  published,  and  several
                       proceedings  articles.  His  areas  of  research  and  interest  are:  Quality  Management,
                       Manufacturing Systems, Process Improvement, Advanced Production Technologies, and
                       Healthcare systems.

                          Mohammed Basingab is a doctoral candidate at the University of Central Florida.
                       He completed B.S. in Industrial Engineering from King Abdul-Aziz University in 2009,
                       and received his M.S. in Industrial Engineering from University of Southern California in
   236   237   238   239   240   241   242   243   244   245   246