Back to search

Article

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk

2022-10-25

Abstract excerpt

The analysis of longitudinal data from electronic health records (EHR) has potential to improve clinical diagnoses and enable personalised medicine, motivating efforts to identify disease subtypes from age-dependent patient comorbidity information. Here, we introduce an age-dependent topic modelling (ATM) method that provides a low-rank representation of longitudinal records of hundreds of distinct diseases in lar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ab2de359-e4ec-53aa-b085-604770715c38
DOI
10.1101/2022.10.23.22281420
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskDOI 10.1101/2022.10.23.22281420
Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity
Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.Semantic proximity
Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity
Topic modelling with ICD10-informed priors identifies novel genetic loci associated with multimorbidities in UK BiobankSemantic proximity
Combining multimorbidity clustering with limited demographic information enables high-precision outcome predictionsSemantic proximity
PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK BiobankSemantic proximity
PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.Semantic proximity
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity
Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK BiobankSemantic proximity
Distinguishing Age-specific Patterns in Comorbidities of Obstructive Sleep Apnea Using Real-World DataSemantic proximity
ALADYNOULLI: A Bayesian approach to disease progression modeling for genomic discovery and clinical predictionSemantic proximity
Select a neighboring publication to make it the new centre.