Xiaocheng Li,Huaiyang Zhong,Margaret L Brandeau
Xiaocheng Li
The goal of a traditional Markov decision process (MDP) is to maximize expected cumulative reward over a defined horizon (possibly infinite). In many applications, however, a decision maker may be interested in optimizing a specific quantil...
Naveed Chehrazi,Lauren E Cipriano,Eva A Enns
Naveed Chehrazi
Antimicrobial resistance is a significant public health threat. In the U.S. alone, 2 million people are infected and 23,000 die each year from antibiotic resistant bacterial infections. In many cases, infections are resistant to all but a f...
Dimitris Bertsimas,Vishal Gupta,Ioannis Ch Paschalidis
Dimitris Bertsimas
The Black-Litterman (BL) model is a widely used asset allocation model in the financial industry. In this paper, we provide a new perspective. The key insight is to replace the statistical framework in the original approach with ideas from ...
Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors [0.03%]
基于乳腺X线特征和人口统计学因素的最佳乳腺活检决策模型
Jagpreet Chhatwal,Oguzhan Alagoz,Elizabeth S Burnside
Jagpreet Chhatwal
Breast cancer is the most common non-skin cancer affecting women in the United States, where every year more than 20 million mammograms are performed. Breast biopsy is commonly performed on the suspicious findings on mammograms to confirm t...
Controlling Co-Epidemics: Analysis of HIV and Tuberculosis Infection Dynamics [0.03%]
控疫之策：艾滋病与肺结核感染动态分析
Elisa F Long,Naveen K Vaidya,Margaret L Brandeau
Elisa F Long
A co-epidemic arises when the spread of one infectious disease stimulates the spread of another infectious disease. Recently, this has happened with human immunodeficiency virus (HIV) and tuberculosis (TB). We develop two variants of a co-e...
A stochastic model to measure patient effects stemming from hospital-acquired infections [0.03%]
一个用于衡量医院内感染给病人带来影响的随机模型
G T Kastner,R H Shachtman
G T Kastner
We introduce a Markov chain model to represent a patient's path in terms of the number and type of infections s/he may have acquired during a hospitalization period. The model allows for categories of patient diagnosis, surgery, the four ma...
H L Lee,W P Pierskalla
H L Lee
In this paper, a simplified model describing the stochastic process underlying the etiology of contagious and noncontagious diseases with mass screening is developed. Typical examples might include screening of tuberculosis in urban ghetto ...
A time-dependent stopping problem with application to live organ transplants [0.03%]
一个与活体器官移植有关的时间依赖型停时问题
I David,U Yechiali
I David
We consider a time-dependent stopping problem and its application to the decision-making process associated with transplanting a live organ. "Offers" (e.g., kidneys for transplant) become available from time to time. The values of the offer...
R C Morey,D A Dittman
R C Morey
The federal Medicare regulations reimburse hospitals on a pro rata share of the hospital's cost. Hence, to meet its financial requirements, a hospital is forced to shift more of the financial burdens onto its private patients. This procedur...
Decision analysis: an overview [0.03%]
决策分析综述
R L Keeney
R L Keeney
This article, written for the nondecision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. To accomplish these purposes, it is necessary first to describe the deci...