OPOM
Risk of Death
무료
1.0.2for iPhone, iPad and more
Age Rating
OPOM 스크린 샷
About OPOM
The successful clinical application of liver transplantation has generated a discrepancy between supply and demand, thereby generating a persistent insufficient organ supply that results in thousands of candidate deaths every year while candidates await liver transplantation.
Given the scarcity of this resource, the Model for End-Stage Liver Disease (MELD) accurately prioritizes a waitlisted candidate’s likelihood of death within the near future, so that the limited supply of donated livers can be allocated to maximize the benefit from transplantation. The MELD score was updated in 2014 and 2015.
The objective of OPOM is to improve the accuracy of the MELD method and include hepatocellular carcinoma (HCC) patients, and then demonstrate effectiveness with simulation.
The first order requirement to implement an allocation methodology is to achieve alignment on methodology. This methodology aims to determine the probability that a patient will either die or become unsuitable for liver transplantation within three months, given his or her individual characteristics, and then allocate the limited supply of donated livers to the patients that need it and then maximize benefit of transplantation
Interpretability and transparency of the underlying processes is required to achieve alignment.
Based on the work by D. Bertsimas, J. Kung, N. Trichakis, Y. Wang, R. Hirose and P. Vagefi https://doi.org/10.1111/ajt.15172
Given the scarcity of this resource, the Model for End-Stage Liver Disease (MELD) accurately prioritizes a waitlisted candidate’s likelihood of death within the near future, so that the limited supply of donated livers can be allocated to maximize the benefit from transplantation. The MELD score was updated in 2014 and 2015.
The objective of OPOM is to improve the accuracy of the MELD method and include hepatocellular carcinoma (HCC) patients, and then demonstrate effectiveness with simulation.
The first order requirement to implement an allocation methodology is to achieve alignment on methodology. This methodology aims to determine the probability that a patient will either die or become unsuitable for liver transplantation within three months, given his or her individual characteristics, and then allocate the limited supply of donated livers to the patients that need it and then maximize benefit of transplantation
Interpretability and transparency of the underlying processes is required to achieve alignment.
Based on the work by D. Bertsimas, J. Kung, N. Trichakis, Y. Wang, R. Hirose and P. Vagefi https://doi.org/10.1111/ajt.15172
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최신 버전 1.0.2의 새로운 기능
Last updated on Mar 7, 2023
오래된 버전
Bug fixes and improvements
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Version History
1.0.2
Mar 7, 2023
Bug fixes and improvements
1.1
Oct 2, 2019
Minor fixes
1.0
Sep 27, 2019
OPOM FAQ
제한된 국가 또는 지역에서 OPOM를 다운로드하는 방법을 알아보려면 여기를 클릭하십시오.
OPOM의 최소 요구 사항을 보려면 다음 목록을 확인하십시오.
iPhone
iOS 12.1 이상 필요.
iPad
iPadOS 12.1 이상 필요.
iPod touch
iOS 12.1 이상 필요.
OPOM은 다음 언어를 지원합니다. 영어