Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping
BackgroundIn the current era of personalized medicine, there is increasing interest in understanding the heterogeneity in disease populations. Cluster analysis is a method commonly used to identify subtypes in heterogeneous disease populations. The clinical data used in such applications are typical...
Main Authors: | Horne, Elsie, Tibble, Holly, Sheikh, Aziz, Tsanas, Athanasios |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-05-01
|
Series: | JMIR Medical Informatics |
Online Access: | http://medinform.jmir.org/2020/5/e16452/ |
Similar Items
-
Derivation of asthma severity from electronic prescription records using British thoracic society treatment steps
by: Holly Tibble, et al.
Published: (2022-11-01) -
Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions
by: Holly Tibble, et al.
Published: (2023-07-01) -
Linkage of Primary Care Prescribing Records and Pharmacy Dispensing Records in Asthma Controller Medications
by: Holly Tibble, et al.
Published: (2019-11-01) -
Linkage of primary care prescribing records and pharmacy dispensing Records in the Salford Lung Study: application in asthma
by: Holly Tibble, et al.
Published: (2020-12-01) -
Subtyping children with asthma by clustering analysis of mRNA expression data
by: Ting Wang, et al.
Published: (2022-09-01)