HTA64 Leveraging machine learning for predicting health technology assessment outcomes
Lin, R., Eaves, K., Mills, M. & Kanavos, P.
(2024).
HTA64 Leveraging machine learning for predicting health technology assessment outcomes.
Value in Health,
27(12, Supplement), S365 - S365.
https://doi.org/10.1016/j.jval.2024.10.1889
Heterogeneity in HTA outcomes across settings contributes to disparities in patient access to innovative medicines. This study develops a predictive model for HTA outcomes of innovative medicines across 5 countries, using advanced machine learning techniques.
| Item Type | Article |
|---|---|
| Departments | LSE > Academic Departments > Health Policy |
| DOI | 10.1016/j.jval.2024.10.1889 |
| Date Deposited | 18 Mar 2025 |
| URI | https://researchonline.lse.ac.uk/id/eprint/127580 |
ORCID: https://orcid.org/0000-0001-9518-3089