Using real wold data to structure and populate Markov.pdf (154.75 kB)
Using real world data to structure and populate Markov models - a case study of telemonitoring for heart failure
poster
posted on 2020-03-17, 15:34 authored by Praveen ThokalaPraveen Thokala, Peter DoddPeter Dodd, Simon DixonSimon Dixon, Alan BrennanAlan BrennanOBJECTIVE
The objective is to present an alternative approach that uses routinely available hospitalisation
data to define the states in the Markov model and estimate the transition probabilities for chronic
heart failure patients. A case study of populating a heart failure model Markov using this real
world data approach is provided.
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
