Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System

Min Zhou; Lindu Zhao; Shujuan Qu; Kathryn Sarah Campy

doi:doi:10.11648/j.ijbecs.20180402.12

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Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System

Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy

Published in International Journal of Biomedical Engineering and Clinical Science (Volume 4, Issue 2)

Received: 7 March 2018 Accepted: 27 March 2018 Published: 18 April 2018

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Abstract

In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically．By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.

Published in	International Journal of Biomedical Engineering and Clinical Science (Volume 4, Issue 2)
DOI	10.11648/j.ijbecs.20180402.12
Page(s)	36-47
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Hierarchical Medical System, Bilateral Matching, Multiple Scenarios, Medical Resources

References

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APA Style

Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy. (2018). Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. International Journal of Biomedical Engineering and Clinical Science, 4(2), 36-47. https://doi.org/10.11648/j.ijbecs.20180402.12

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ACS Style

Min Zhou; Lindu Zhao; Shujuan Qu; Kathryn Sarah Campy. Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. Int. J. Biomed. Eng. Clin. Sci. 2018, 4(2), 36-47. doi: 10.11648/j.ijbecs.20180402.12

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AMA Style

Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy. Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. Int J Biomed Eng Clin Sci. 2018;4(2):36-47. doi: 10.11648/j.ijbecs.20180402.12

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@article{10.11648/j.ijbecs.20180402.12,
  author = {Min Zhou and Lindu Zhao and Shujuan Qu and Kathryn Sarah Campy},
  title = {Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System},
  journal = {International Journal of Biomedical Engineering and Clinical Science},
  volume = {4},
  number = {2},
  pages = {36-47},
  doi = {10.11648/j.ijbecs.20180402.12},
  url = {https://doi.org/10.11648/j.ijbecs.20180402.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbecs.20180402.12},
  abstract = {In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically．By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.},
 year = {2018}
}

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TY  - JOUR
T1  - Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System
AU  - Min Zhou
AU  - Lindu Zhao
AU  - Shujuan Qu
AU  - Kathryn Sarah Campy
Y1  - 2018/04/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ijbecs.20180402.12
DO  - 10.11648/j.ijbecs.20180402.12
T2  - International Journal of Biomedical Engineering and Clinical Science
JF  - International Journal of Biomedical Engineering and Clinical Science
JO  - International Journal of Biomedical Engineering and Clinical Science
SP  - 36
EP  - 47
PB  - Science Publishing Group
SN  - 2472-1301
UR  - https://doi.org/10.11648/j.ijbecs.20180402.12
AB  - In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically．By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.
VL  - 4
IS  - 2
ER  -

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Author Information

Min Zhou

School of Business Administration, Hunan University of Commerce, Changsha, China
Lindu Zhao

School of Economics and Management, Southeast University, Nanjing, China
Shujuan Qu

The Third Xiangya Hospital of Central South University, Changsha, China
Kathryn Sarah Campy

Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, USA

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Plain Text BibTeX RIS

APA Style

Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy. (2018). Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. International Journal of Biomedical Engineering and Clinical Science, 4(2), 36-47. https://doi.org/10.11648/j.ijbecs.20180402.12

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ACS Style

Min Zhou; Lindu Zhao; Shujuan Qu; Kathryn Sarah Campy. Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. Int. J. Biomed. Eng. Clin. Sci. 2018, 4(2), 36-47. doi: 10.11648/j.ijbecs.20180402.12

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AMA Style

Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy. Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System. Int J Biomed Eng Clin Sci. 2018;4(2):36-47. doi: 10.11648/j.ijbecs.20180402.12

Copy | Download

@article{10.11648/j.ijbecs.20180402.12,
  author = {Min Zhou and Lindu Zhao and Shujuan Qu and Kathryn Sarah Campy},
  title = {Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System},
  journal = {International Journal of Biomedical Engineering and Clinical Science},
  volume = {4},
  number = {2},
  pages = {36-47},
  doi = {10.11648/j.ijbecs.20180402.12},
  url = {https://doi.org/10.11648/j.ijbecs.20180402.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbecs.20180402.12},
  abstract = {In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically．By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System
AU  - Min Zhou
AU  - Lindu Zhao
AU  - Shujuan Qu
AU  - Kathryn Sarah Campy
Y1  - 2018/04/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ijbecs.20180402.12
DO  - 10.11648/j.ijbecs.20180402.12
T2  - International Journal of Biomedical Engineering and Clinical Science
JF  - International Journal of Biomedical Engineering and Clinical Science
JO  - International Journal of Biomedical Engineering and Clinical Science
SP  - 36
EP  - 47
PB  - Science Publishing Group
SN  - 2472-1301
UR  - https://doi.org/10.11648/j.ijbecs.20180402.12
AB  - In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically．By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.
VL  - 4
IS  - 2
ER  -

Copy | Download