An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values

Non‐preference‐based patient‐reported outcome measures (PROMs) are popular in health outcomes research. These measures, however, cannot be used to estimate health state utilities, limiting their usefulness for economic evaluations. Mapping PROMs to a multi‐attribute utility instrument is one solutio...

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Detalles Bibliográficos
Autores principales: Aghdaee, Mona, Parkinson, Bonny, Sinha, Kompal, Gu, Yuanyuan, Sharma, Rajan, Olin, Emma, Cutler, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545032/
https://www.ncbi.nlm.nih.gov/pubmed/35704682
http://dx.doi.org/10.1002/hec.4503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545032/
https://www.ncbi.nlm.nih.gov/pubmed/35704682
http://dx.doi.org/10.1002/hec.4503

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