01이 칸의 논문
- Cancer Screening Outreach Guided by Machine Learning: The Benefits of Proactive Care
- Frontiers in Operations: Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic
- Probabilistic Forecasting of Patient Waiting Times in an Emergency Department
- Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
- Drone Network Design for Cardiac Arrest Response
- COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation
- Pandemic lockdown, isolation, and exit policies based on machine learning predictions
- Chronic Disease Progression Prediction: Leveraging Case‐Based Reasoning and Big Data Analytics
- Improving Tuberculosis Treatment Adherence Support: The Case for Targeted Behavioral Interventions
- Resource Allocation with Sigmoidal Demands: Mobile Healthcare Units and Service Adoption
- Predicting Colorectal Cancer Mortality: Models to Facilitate Patient‐Physician Conversations and Inform Operational Decision Making
02같은 주제, 다른 방법
- Augmenting individualized treatment planning via data-driven clinical role model selection
- Frontiers in Operations: Bounding Counterfactual Outcomes of Health Insurance Delay-and-Deny Practices
- Analytics with Robust Epidemiological Compartmental Optimization Models
- Keep the Water Flowing: The Hidden Crisis of Rural Water Management
- Optimizing Interhospital Patient Transfer Decisions: A Queueing Network Approach
- Frontiers in Operations: Last-Mile Delivery in Healthcare: Drone Delivery for Blood Products in Rwanda
- Frontiers in Operations: Prioritizing Disaster Recovery Under Budget Uncertainty
- Near-Optimal Dispatch Policies for Emergency Medical Services
- Transmission Interaction Persistence (TIP): A Supply Chain and Epidemiological Model for Zoonotic Virus Outbreaks
- Optimal Enrollment Timing in Early-Stage Patient-Centered Clinical Trials