The week's pick
Reseach Article
Review on In-Patient Hospital Stay
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 155 - Number 12 |
| Year of Publication: 2016 |
| Authors: Garima Sharma, Saurabh Kr. Srivastava |
10.5120/ijca2016912502
|
Garima Sharma, Saurabh Kr. Srivastava . Review on In-Patient Hospital Stay. International Journal of Computer Applications. 155, 12 ( Dec 2016), 41-49. DOI=10.5120/ijca2016912502
Abstract
Forecasting In-Patient length of stay is a prime concern for patients in diagnosis of their diseases. It is also significant for hospitals to plan and manage their services for patients efficiently. Length of In-Patient stay prediction plays a crucial role in strategic decision making by healthcare administrators and also plan their resources. This paper presents a review of related algorithms and methods that are carried out by the researchers in past years. Most of the papers calculated outcomes in terms of MSE (mean square error) and AFER (average forecasting error rate) and had compared with different pre-existing methods. With the review of the literature identified that there is a still scope of some improvement required in healthcare domain using Genetic Algorithm approach.
References
- Q. Song, B.S Chissom, An article in Fuzzy Sets and Systems March (1993) 267-277 Elsevier Science Publisher B.V. A Fuzzy Time Series and its model.
- Song, Qiang, Chissom and Brad S., Mid-South Educational Research Association 20th, Lexington, KY, November 12-15, 1991. Forecasting Enrollments using Fuzzy Time Series. Part I. Fuzzy Sets and Systems 54, 1–9.
- Q. Song, B. S Chissom, Article in Fuzzy Sets and Systems 62– Feb, 1994, North Holland. Forecasting enrollments with fuzzy time series – Part II.
- Shyi-Ming Chen and Chia- Ching Hsu, International Journal of Applied Science and Engineering. 2004.2, 3:234-244. A New Method to Forecast Enrollments using Fuzzy Time Series.
- Shyi-Ming Chen, Fuzzy Sets and Systems 8961, 19 Elsevier Science B.V. Forecasting enrollments based on fuzzy time series.
- Tahseen Ahmed Jilani, Syed Muhammad Aqil Burney, and Cemal Ardil, World Academy of Science, Engineering and Technology 34, 2007. Fuzzy Metric Approach for Fuzzy Time Series Forecasting based on Frequency Density Based Partioning.
- Tahseen A.Jilani, S.M.Aquil Burney, and C. Ardil, International Journal of Computational Intelligence 4;1 2008. Multivariant High Order Fuzzy Time Series Forecasting for Car Road Accidents.
- Tahseen Ahmed, Syed, and Ardil, World Academy of Science, Control and Information Engineering, Vol:4, No: 7, 2010, Fuzzy metric approach for fuzzy time series forecasting based on frequency density based portioning.
- Kun-Huang Huarng, Tiffany Hui-Kuang Yu, and Yu Wei Hsu, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 37, NO. 4, AUGUST 2007. A Multivariate Heuristic Model for Fuzzy Time Series Forecasting.
- Melike, Konstant, Proceedings of world academy of science, Engineering and technology volume 1 January 2005 ISSN 1307-6884. Forecasting Enrollment Model Based on First-Order Fuzzy Time Series.
- Hanseen, Kais, Abdul-Ghafoor, The International Arab Journal of Information Technology, Vol. 11, No. 3, May 2014. A Hybrid Algorithm to Forecast Enrollment Based on Genetic Algorithms and Fuzzy Time Series.
- Haifeng, Thierry, and Peter H, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 3, JULY 2006. A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care.
- Kurniawan, Shyi-Ming Chen, Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, Baoding, 12-15 July 2009. A New Method to Forecast Enrollments using Fuzzy Time Series and Clustering Techniques.
- Satyendra Nath Mandal, Arghya Gosh, Subhojit Roy, J.Pal and S.R Bhadra, International Journal of Computer Applications on Advanced Computing and Communication Technologies for HPC Applications – ACCTHPCA, June 2012. A Novel Approach of Genetic Algorithm in prediction of Time Series Data.
- Divya Tomar, Sonali Agarwal, International Journal of Bio-Science and Bio-Technology, 2013. A Survey on Data Mining Approaches for Healthcare.
- Wai-Keung Wong, Enjian Bai, and Alice Wai-Ching Chu, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 40, NO. 6, DECEMBER 2010. Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting.
- Chao-Chin Tsai, Shun-Jyh Wu, IEEE 2000. Forecasting Enrollment with High-order Fuzzy Time Series.
- Bindu Garg, M.M. Sufyan Beg, A.Q. Ansari, and B.M. Imran, Springer-Verlag Berlin Heidelberg 2011. Soft Computing Model to Predict Average Length of Stay of Patient.
- Bindu Garg, M.M. Sufyan Beg, A.Q. Ansari, and B.M. Imran, Springer-Verlag Berlin Heidelberg 2011. Fuzzy Time Series Prediction Model.
- Yu Yan-Hua and Song, 2010 3rd International Symposium on Knowledge Acquisition and Modeling. On Fuzzy Time Series Method.
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