Lin, R., Eaves, K., Mills, M. and Kanavos, P. ORCID: 0000-0001-9518-3089
(2024)
HTA64 Leveraging machine learning for predicting health technology assessment outcomes.
Value in Health, 27 (12, Supplement).
S365 - S365.
ISSN 1098-3015
Identification Number: 10.1016/j.jval.2024.10.1889
Abstract
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 |
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Divisions: | Health Policy |
Subjects: | R Medicine > R Medicine (General) |
Date Deposited: | 18 Mar 2025 09:12 |
Last Modified: | 18 Mar 2025 09:12 |
URI: | http://eprints.lse.ac.uk/id/eprint/127580 |
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