Fleetwood, Christopher, Salehi, Mahan, Ward, Rachel, Mamayusupova, Hulkar, Secchi, Agostina, Coulton, Simon, Maidment, Ian D., Myint, Phyo (2021) A novel machine learning approach to anticholinergic burden quantification. The Lancet, . (KAR id:89726)
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| Official URL: http://dx.doi.org/10.2139/ssrn.3777231 |
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| Item Type: | Article |
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| Divisions: |
Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research > Centre for Health Services Studies Central Services |
| Depositing User: | Helen Wooldridge |
| Date Deposited: | 11 Aug 2021 14:35 UTC |
| Last Modified: | 05 Nov 2024 12:55 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/89726 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Coulton, Simon.
| Creator's ORCID: |
 https://orcid.org/0000-0002-7704-3274
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| CReDIT Contributor Roles: |
- Link to SensusAccess
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