Journal article
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
- Abstract:
- Dementia is characterized by a decline in memory and thinking that is significant enough to impair function in activities of daily living. Patients seen in dementia specialty clinics are highly heterogenous with a variety of different symptoms that progress at different rates. Recent research has focused on finding data-driven subtypes for revealing new insights into dementia\u27s underlying heterogeneity, rather than assuming that the cohort is homogenous. However, current studies on dementia subtyping have the following limitations: (i) focusing on AD-related dementia only and not examining heterogeneity within dementia as a whole, (ii) using only cross-sectional baseline visit information for clustering and (iii) predominantly relying on expensive imaging biomarkers as features for clustering. In this study, we seek to overcome such limitations, using a data-driven unsupervised clustering algorithm named SillyPutty, in combination with hierarchical clustering on cognitive assessment scores to estimate subtypes within a real-world clinical dementia cohort. We use a longitudinal patient data set for our clustering analysis, instead of relying only on baseline visits, allowing us to explore the ongoing temporal relationship between subtypes and disease progression over time. Results showed that subtypes with very mild or mild dementia were more heterogenous in their cognitive profiles and risk of disease progression
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 978.8KB, Terms of use)
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- Publisher copy:
- 10.1186/s12916-022-02250-2
Authors
+ Medical Research Council
More from this funder
- Funder identifier:
- https://ror.org/03x94j517
- Grant:
- MC-PC-17215
+ National Institute for Health Research
More from this funder
- Funder identifier:
- 10.13039/501100000272
- Grant:
- RP-2017-08-ST2-006
+ NIHR Oxford Biomedical Research Centre
More from this funder
- Funder identifier:
- 10.13039/501100013373
- Grant:
- BRC-1215-20005
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- 10.13039/501100000266
- Grant:
- EP/N026977/1
- Publisher:
- BioMed Central
- Journal:
- BMC Medicine More from this journal
- Volume:
- 20
- Issue:
- 1
- Pages:
- 45-45
- Article number:
- 45
- Publication date:
- 2022-02-01
- DOI:
- EISSN:
-
1741-7015
- ISSN:
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1741-7015
- Language:
-
English
- Keywords:
- Pubs id:
-
1237261
- Local pid:
-
pubs:1237261
- Source identifiers:
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W4210765044
- Deposit date:
-
2026-04-09
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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