Optimizing operating room scheduling through multi-level learning and column generation: a novel hybrid approach [0.03%]
基于多层次学习和列生成的手术室调度优化方法研究
Rong Zhao,Yaqin Quan,Guangrui Fan
Rong Zhao
Operating room (OR) scheduling is a critical challenge in healthcare, directly impacting patient outcomes and hospital efficiency. Traditional methods often struggle with the complex, multi-level constraints and uncertainties inherent in OR...
Innovations in early detection of chronic non-communicable diseases among adolescents through an easy-to-Use AutoML paradigm [0.03%]
一种易于使用的自动机器学习范式，用于创新地检测青少年慢性非传染性疾病早期征兆
Nevena Rankovic,Dragica Rankovic,Igor Lukic
Nevena Rankovic
In this research, we present an interpretable AutoML approach for the early diagnosis of hypertension and hyperinsulinemia among adolescents, conditions that are critical to identify during these formative years due to their requirement for...
Qiushi Chen,Robert Newton,Paul Griffin
Qiushi Chen
Multi-billion-dollar opioid settlement agreements have been reached with pharmaceutical manufacturers and distributors to address their liability in contributing to the opioid epidemic in the United States. These agreements stipulate that w...
Measuring the effect of deprivation on primary health care performance using data envelopment analysis and Malmquist Indices [0.03%]
利用数据包络分析和梅尔奎斯特指数法测量剥夺感对初级卫生保健绩效的影响
Holly Bea Merelie,Carla Alexandra Filipe Amado,Sérgio Pereira Dos Santos
Holly Bea Merelie
Life expectancy is typically shorter in areas with higher deprivation, highlighting the need for policymakers and health care managers to focus on reducing health inequalities through efficient and effective care. This study aims to assess ...
Optimal quality oversight in kidney transplantation and its impact on transplant centers' waitlist management [0.03%]
肾脏移植中的质量监管优化及其对移植中心等待名单管理的影响
Zahra Gharibi,Hung T Do,Michael Hahsler et al.
Zahra Gharibi et al.
This paper studies the effects of quality oversight in the context of assessing kidney transplantation-related outcomes and possible unintended consequences (e.g., cherry-picking of organs and selection of healthier transplant candidates). ...
Data in ambulatory care logistics: What modelers need and what practice can offer [0.03%]
门诊护理物流中的数据有哪些？模型需要什么？实务可以提供什么？
Anne Zander,Melanie Reuter-Oppermann
Anne Zander
Ambulatory care facilities play a critical role in many healthcare systems worldwide. To ensure efficient care provision, we must match care demand with care supply. To support provider decision-making, this article reviews Operations Resea...
A change-point method for multi-lead electrocardiogram monitoring using weighted multivariate functional principal component analysis [0.03%]
基于加权多元函数主成分分析的多导联心电监护变点方法研究
Hesam Hafezalseheh,Mohammad Fathian,Rassoul Noorossana et al.
Hesam Hafezalseheh et al.
Cardiovascular diseases (CVDs) are one of the primary reasons for death worldwide. These diseases often occur due to the occlusion of coronary arteries, thereby leading to insufficient blood and oxygen supply that damages cardiac muscle cel...
Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process [0.03%]
寻找未预约治疗领域中的水晶球：系统文献综述之预测过程
Mingzhe Shi,Bahman Rostami-Tabar,Daniel Gartner
Mingzhe Shi
The ability to accurately forecast unscheduled care needs is of paramount importance for decision making in healthcare operations, ensuring a continuous and high-quality level of care. In this work, we provide a literature review of 156 res...
A two-phase method for layout optimization: The case of a referral cancer center in Latin America [0.03%]
拉丁美洲转诊癌症中心的两阶段布署优化方法研究案例
Anderson Coutinho,Rafael Morais,Anand Subramanian et al.
Anderson Coutinho et al.
This work proposes a two-phase approach for optimizing the layout of a referral cancer center in Latin America, which results from a collaboration between a university, in Brazil, and a consultancy company. The objective of the problem is t...
A decomposition-based approach for multi-level appointment planning and scheduling [0.03%]
一种基于分解的多层次预约计划与调度方法研究
Tine Meersman,Broos Maenhout
Tine Meersman
We study the scheduling of appointments for population-based breast cancer screening, considering different patient types in view of their stochastic no-show behaviour and service duration. The associated multi-level problem under study com...