[PDF][PDF] Prediction-driven surge planning with application in the emergency department

Y Hu, CW Chan, J Dong - Submitted to Management Science, 2021 - columbia.edu
Determining emergency department (ED) nurse staffing decisions to balance the quality of
service and staffing cost can be extremely challenging, especially when there is a high level …

Pursuing equilibrium of medical resources via data empowerment in parallel healthcare system

Y Yu, S Yao, K Wang, Y Chen… - … on Systems, Man, and …, 2023 - ieeexplore.ieee.org
The imbalance between the supply and demand of healthcare resources is a global
challenge, which is particularly severe in developing countries. Governments and academic …

A framework for optimal recruitment of temporary and permanent healthcare workers in highly uncertain environments

S Malaki, N Izady, LM de Menezes - European Journal of Operational …, 2023 - Elsevier
There has been a significant increase in the demand for temporary skilled workers in the
health sector. They provide volume flexibility, but are generally more expensive than their …

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

D Liu, C Ding, D Bold, M Bouvier, J Lu… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of healthcare has increasingly turned its focus towards Large Language Models
(LLMs) due to their remarkable performance. However, their performance in actual clinical …

Forecasting rheumatoid arthritis patient arrivals by including meteorological factors and air pollutants

Z Ye, B Ye, Z Ming, J Shu, C Xia, L Xu, Y Wan… - Scientific Reports, 2024 - nature.com
The burden of rheumatoid arthritis (RA) has gradually elevated, increasing the need for
medical resource redistribution. Forecasting RA patient arrivals can be helpful in managing …

Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

BM Porto, FS Fogliatto - BMC Medical Informatics and Decision Making, 2024 - Springer
Background Emergency department (ED) overcrowding is an important problem in many
countries. Accurate predictions of ED patient arrivals can help management to better …

Machine Learning Implementations for Multi-class Cardiovascular Risk Prediction in Family Health Units.

ME Sozen, G Sariyer, MY Sozen… - International …, 2023 - search.ebscohost.com
Cardiovascular disease (CVD) risk prediction plays a significant role in clinical research
since it is the key to primary prevention. As family health units follow up on a specific group …

Prediction-Driven Surge Planning with Application to Emergency Department Nurse Staffing

Y Hu, CW Chan, J Dong - Management Science, 2024 - pubsonline.informs.org
Determining emergency department (ED) nurse staffing decisions to balance quality of
service and staffing costs can be extremely challenging, especially when there is a high …

Research and Implementation of Machine Learning Algorithms in Tourism Recommendation

M Qian - 2024 3rd International Conference for Advancement in …, 2024 - ieeexplore.ieee.org
The role of travel recommendation in the tourism industry is very important, but there is the
problem that travel recommendation reviews are not true. Ordinary methods cannot solve …

Optimal Decision Making for Healthcare Operations: Models and Implementation

L Na - 2023 - dspace.mit.edu
Healthcare systems face financial and operational challenges to provide high-quality patient
care. Advances in machine learning and scalable optimization have led to opportunities for …