Inter-organizational pooling of NICU nurses in the Dutch neonatal network: a simulation-optimization study [0.03%]
荷兰新生儿网络中的NICU护士组织间共享：基于模拟优化的研究
Gréanne Leeftink,Kimberley Morris,Tim Antonius et al.
Gréanne Leeftink et al.
Neonatology care, the care for premature and severely ill babies, is increasingly confronted with capacity challenges. The entire perinatal care chain, including the Neonatal Intensive Care Unit (NICU), operates at high occupation levels. T...
Martin van Buuren
Martin van Buuren
Ambulances must be strategically placed to ensure timely patient care and save lives. The allocation problem considered in the current paper optimally distributes a fixed number of ambulances over predetermined bases with limited capacity. ...
Mechanistic modeling of social conditions in disease-prediction simulations via copulas and probabilistic graphical models: HIV case study [0.03%]
应用耦合和概率图模型的疾病预测模拟中的社会条件机制建模：艾滋病案例研究
Amir Khosheghbal,Peter J Haas,Chaitra Gopalappa
Amir Khosheghbal
As social and economic conditions are key determinants of HIV, the United States 'National HIV/AIDS Strategy (NHAS)', in addition to care and treatment, aims to address mental health, unemployment, food insecurity, and housing instability, ...
Assessing the performance of Portuguese public hospitals before and during COVID-19 outbreak, with optimistic and pessimistic benchmarking approaches [0.03%]
乐观和悲观基准法下的新冠疫情对葡萄牙公立医院绩效的影响分析
Guilherme Mendes Vara,Marta Castilho Gomes,Diogo Cunha Ferreira
Guilherme Mendes Vara
The COVID-19 pandemic had a profound impact on the tertiary sector, particularly in healthcare, which faced unprecedented demand despite the existence of limited resources, such as hospital beds, staffing resources, and funding. The magnitu...
A reinforcement learning approach for the online dynamic home health care scheduling problem [0.03%]
一种在线动态家庭健康护理调度问题的强化学习方法
Quy Ta-Dinh,Tu-San Pham,Minh Hoàng Hà et al.
Quy Ta-Dinh et al.
Over recent years, home health care has gained significant attention as an efficient solution to the increasing demand for healthcare services. Home health care scheduling is a challenging problem involving multiple complicated assignments ...
Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data [0.03%]
基于SEER登记数据评估机器学习模型偏差及非小细胞肺癌的种族差异
Cameron Trentz,Jacklyn Engelbart,Jason Semprini et al.
Cameron Trentz et al.
Background: Despite decades of pursuing health equity, racial and ethnic disparities persist in healthcare in America. For cancer specifically, one of the leading observed disparities is worse mortality among non-Hispanic...
Forecasting to support EMS tactical planning: what is important and what is not [0.03%]
用于EMS战术规划的预测：哪些重要，哪些不重要
Mostafa Rezaei,Armann Ingolfsson
Mostafa Rezaei
Forecasting emergency medical service (EMS) call volumes is critical for resource allocation and planning. The development of many commercial and free software packages has made a variety of forecasting methods accessible. Practitioners, ho...
Itamar Megiddo,Sarang Deo,Alec Morton et al.
Itamar Megiddo et al.
Optimization of testing protocols to screen for COVID-19: a multi-objective model [0.03%]
用于筛查COVID-19的测试协议的优化：一个多目标模型
Hadi Moheb-Alizadeh,Donald P Warsing Jr,Richard E Kouri et al.
Hadi Moheb-Alizadeh et al.
In this paper we develop a new multi-objective simulated annealing (MOSA) algorithm to generate optimal testing protocols for infectious diseases, using the COVID-19 pandemic as our context. A SEIR (susceptible-exposed-infected-recovered) e...
A novel two-stage network data envelopment analysis model for kidney allocation problem under medical and logistical uncertainty: a real case study [0.03%]
一种新颖的两阶段网络数据包络分析模型用于肾脏分配问题的医学和物流不确定性：真实案例研究
Farhad Hamidzadeh,Mir Saman Pishvaee,Naeme Zarrinpoor
Farhad Hamidzadeh
Organ transplantation is one of the most complicated and challenging treatments in healthcare systems. Despite the significant medical advancements, many patients die while waiting for organ transplants because of the noticeable differences...