Challenges of AI for cost-effectiveness in health: a hybrid MCDM model

Yeter Uslu, Erman Gedikli, Emre Yılmaz

Open source

DOI: 10.1186/s13561-026-00821-0
Published: 2026-07-23
Container: Health Economics Review
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13561-026-00821-0,
  title = {Challenges of AI for cost-effectiveness in health: a hybrid MCDM model},
  author = {Yeter Uslu and Erman Gedikli and Emre Yılmaz},
  year = {2026},
  journal = {Health Economics Review},
  doi = {10.1186/s13561-026-00821-0},
  url = {https://doi.org/10.1186/s13561-026-00821-0}
}

RIS

TY  - JOUR
TI  - Challenges of AI for cost-effectiveness in health: a hybrid MCDM model
AU  - Yeter Uslu
AU  - Erman Gedikli
AU  - Emre Yılmaz
PY  - 2026
JO  - Health Economics Review
DO  - 10.1186/s13561-026-00821-0
UR  - https://doi.org/10.1186/s13561-026-00821-0
ER  -

APA

Uslu, Y., Gedikli, E., & Yılmaz, E. (2026). Challenges of AI for cost-effectiveness in health: a hybrid MCDM model. Health Economics Review. https://doi.org/10.1186/s13561-026-00821-0

Source records

crossref · retrieved 2026-11-10T14:24:52.902Z