Strategic analysis of heterogeneous fleet composition for aerial interhospital transport in underserved areas of Canada [0.03%]
加拿大偏远地区航空院间转运的异构机队组成的战略分析
Joelle Cormier,Valérie Bélanger,Marie-Éve Rancourt
Joelle Cormier
Identifying the most influential employees in infectious disease spread using stochastic mixed integer linear programming optimization [0.03%]
利用随机混合整数线性规划优化识别传染病传播中最具影响力的员工
Mohadese Basirati,Saeed Najafi-Zangeneh,Mireille Batton-Hubert
Mohadese Basirati
The predictive factors of US hospital bankruptcy - a multi-model comparison [0.03%]
美国医院破产的预测因素-多模型对比分析
Brad Beauvais,Zo Ramamonjiarivelo,C Scott Kruse et al.
Brad Beauvais et al.
In response to the growing number of hospital bankruptcies across the United States, this study sought to develop a predictive and interpretable model tailored specifically to the healthcare industry. Utilizing a longitudinal dataset of 3,0...
Comparative Study
Health care management science. 2026 Feb 21;29(1):8. DOI:10.1007/s10729-025-09750-6 2026
Optimization of tray inventory levels in hospitals from an integral perspective [0.03%]
综合视角下的医院盘 Tray 库存优化研究
Hayo Bos,Gaspard Hosteins,Wick Wijnholds et al.
Hayo Bos et al.
Surgical instrument trays are crucial for any hospital’s surgical department; patients cannot undergo surgery if the right instruments are not available. It is therefore of great significance to provide a steady and sufficient supply of st...
Healthcare applications of 0-1 neural networks in prescriptive problems with observational data [0.03%]
基于观察数据的处方问题中0-1神经网络在医疗保健领域的应用
Vrishabh Patil,Kara K Hoppe,Yonatan Mintz
Vrishabh Patil
A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly evident in personalized healthcare decision-making, where models need to take into accoun...
A survey on optimization and machine learning-based fair decision making in healthcare [0.03%]
基于优化和机器学习的医疗保健公平决策调查研究报告
Zequn Chen,Wesley J Marrero
Zequn Chen
Interpretable machine learning for personalized breast cancer screening recommendations [0.03%]
可解释机器学习在个性化乳腺癌筛查建议中的应用
Sean Berry,Berk Görgülü,Sait Tunc et al.
Sean Berry et al.
Breast cancer is the most common non-skin cancer and the second leading cause of cancer death in U.S. women. Early detection and timely intervention are thus critical in reducing breast cancer-related deaths. Existing literature for the des...
Did COVID-19 worsen the disparities among mental health patients at risk of exhibiting aggression in Ontario, Canada? [0.03%]
COVID-19是否加剧了加拿大安大略省精神卫生患者中易出现攻击行为者之间的差距？
Somayeh Ghazalbash,Vedat Verter
Somayeh Ghazalbash
The COVID-19 pandemic has strained global health systems, exacerbating health disparities, especially among vulnerable groups. It has also worsened mental health, leading to increased rates of depression and anxiety. We study the impact of ...
Impact of collaboration network on care costs: an integrated healthcare analysis [0.03%]
合作网络对护理成本的影响：一体化医疗分析
Ji Wu,Jianna Wang,Doris Chenguang Wu et al.
Ji Wu et al.
While prior research on inpatient care costs has primarily focused on patient- and clinical-level factors, limited empirical attention has been given to how physician collaboration shapes cost outcomes. Few studies have examined this relati...
Hospital service focus vs. breadth: Impact on hospital outcomes and the moderating role of hospital size [0.03%]
医院服务聚焦与广度对医院绩效的影响：医院规模的调节作用分析
Matthew J Castel,Timothy C Dunne
Matthew J Castel
There is an ever-increasing need for hospitals in the United States to improve upon their performance. In particular, it is necessary for hospitals to decrease their costs while improving patient satisfaction. Intuitively, hospitals adopt d...