Can past variants of SARS-CoV-2 predict the impact of future variants? Machine learning for early warning of US counties at risk [0.03%]
过去的新冠病毒变异株能预测未来变异株的影响吗？美国风险县的早期预警机器学习模型
Kevin B Smith,Siqian Shen,Brian T Denton
Kevin B Smith
In this paper, we determine whether machine learning (ML) models created using data from the novel SARS-CoV-2 Alpha variant can prospectively predict county-level incidence of emerging variants, validated using data of the Omicron variant. ...
Causal networks guiding large language models: application to COVID-19 [0.03%]
因果网络引导大型语言模型在COVID-19中的应用
Farrokh Alemi,Kevin James Lybarger,Jee Vang et al.
Farrokh Alemi et al.
In the context of diagnosis of COVID-19, this paper shows how to convert a Causal Network to a Large Language Model (LLM). The Causal Network was converted to the language model using prompts and completions. Prompts were composed from the ...
Public health interventions for developing resilience to contagious diseases: a system dynamics approach [0.03%]
增强抵抗传染病侵害的公共卫生干预措施：系统动力学方法
Hajar Sadegh Zadeh,Amir Hossein Ansaripoor,Md Hossan Maruf Chowdhury et al.
Hajar Sadegh Zadeh et al.
Contagious diseases severely impact health systems and economies, with close contact leading to further spread and fatalities. This paper examines the effects of government interventions on controlling such diseases. Key interventions inclu...
Optimal capacity planning for long-term care facilities considering patients' gender, language, and age group [0.03%]
考虑性别、语言和年龄组的长期护理设施最优容量规划
Ghazal Khalili,Mohsen Zargoush,Kai Huang
Ghazal Khalili
Long-term care facility networks in Canada face significant challenges in balancing demand and capacity, a problem exacerbated by rising demand. In other words, the growing elderly population is escalating the need for long-term care resour...
County-level mobility and sociopolitical context in the spread of COVID-19 during spring 2020 [0.03%]
2020年春季新冠肺炎疫情期间县级人口流动和经济社会因素对疫情传播的影响
Chris Parker,Jorge Mejia
Chris Parker
The implementation of social distancing policies is key to reduce the spread of the recent COVID-19 pandemic and future pandemics. However, their effectiveness ultimately depends on human behavior. For example, in the United States, complia...
A stochastic programming model for trauma hospital network expansion considering rural communities and COVID-19 [0.03%]
一种考虑农村社区和COVID-19的创伤医院网络扩张的随机规划模型
Eduardo Pérez,Alakshendra Joshi,Sabhasachi Saha et al.
Eduardo Pérez et al.
Trauma care services are a vital part of all healthcare-based networks as timely accessibility is important for citizens. Trauma care access is even more relevant when unexpected events, such as the COVID-19 pandemic, overload the capacity ...
Enhancing patient accessibility of primary care: the redesign of Italian territorial medicine [0.03%]
增强初级保健的患者可达性：意大利区域医学的重新设计
Antonio Diglio,Chiara Morlotti,Giuseppe Bruno et al.
Antonio Diglio et al.
Ensuring widespread accessibility of healthcare services is a crucial policy objective. Accordingly, the Italian National Recovery and Resilience Plan (NRRP) has prioritized territorial medicine, channeling post-pandemic investments toward ...
A descriptive investigation of the impact of statewide distribution policies and consumer vulnerabilities on COVID-19 vaccination in the united States [0.03%]
美国COVID-19疫苗分配政策及消费者脆弱性对新冠疫苗接种影响的描述性研究
Kathleen Iacocca,Beth Vallen,Alicia Strandberg et al.
Kathleen Iacocca et al.
This research leverages data from various disparate sources to examine how state-level policy distribution decisions and local, county-level population vulnerability factors likely to hinder vaccination influenced COVID-19 vaccination effor...
The crucial role of explainable artificial intelligence (XAI) in improving health care management [0.03%]
可解释的人工智能在改善医疗卫生管理方面的作用
Arne Johannssen,Nataliya Chukhrova
Arne Johannssen
This current opinion explores the transformative potential of explainable artificial intelligence (XAI) for health care management systems. While AI has already demonstrated substantial benefits in clinical decision-making, operational effi...
Synergizing artificial intelligence and operations research for advancements in biomanufacturing [0.03%]
协同人工智能与运筹学在生物制造领域的应用进展
Tugce Martagan,Tinglong Dai
Tugce Martagan
Harnessing the synergy between artificial intelligence (AI) and operations research (OR) helps drive efficiency, safety, and innovation in biomanufacturing. AI offers predictive capabilities, while OR represents the pinnacle of prescriptive...