In recent years, hospital readmissions have increased, affecting public evaluations and pay-for-performance measures. A study developed a predictive model for 90-day hospital readmission in patients undergoing elective vascular procedures. The best predictive model was Shrinkage Discriminant Analysis, which considered variables such as length of stay, comorbidity scores, procedure type, and admission type. The model indicates that efforts to reduce vascular readmissions should prioritize emergency procedures. This risk stratification allows for better identification and prevention of unnecessary readmissions, crucial in an environment where preventing unplanned readmissions is increasingly important.

Project Activity

See All Activity >

Categories

Medical

Follow Vascular prediction

Vascular prediction Web Site

You Might Also Like
Easy management of simple and complex projects Icon
Easy management of simple and complex projects

We help different businesses become digital, manage projects, teams, communicate effectively and control tasks online.

Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

User Reviews

  • R version was the current version at the time, R 3.5.
Read more reviews >

Additional Project Details

Operating Systems

Linux

Programming Language

R

Related Categories

R Medical Software

Registered

2023-04-02