# Challenges in Identifying Asthma Subgroups Using Unsupervised Statistical Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/challenges-in-identifying-asthma-subgroups-using-unsupervised-statistical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mattia Prosperi,Ümit Murat Şahiner,Danielle Belgrave,Cansın Saçkesen,Iain Buchan,Angela Simpson,Tolga S. Yavuz,Ömer Kalaycı,Adnan Čustović |
| Citations | 60 |
| DOI | 10.1164/rccm.201304-0694oc |
| Fields | Decision Sciences,Mathematics,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/11655/13823 |
| OpenAlex ID | https://openalex.org/W1979643807 |
| PMID | 24180417 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Ümit Murat Şahiner](https://scholariq.org/researchers/umit-murat-sahiner/)

## Paper primary topic

- [Asthma and respiratory diseases](https://scholariq.org/topics/asthma-and-respiratory-diseases/)

## Paper topics

- [Asthma and respiratory diseases](https://scholariq.org/topics/asthma-and-respiratory-diseases/)
- [Statistical Methods in Epidemiology](https://scholariq.org/topics/statistical-methods-in-epidemiology/)
- [Reliability and Agreement in Measurement](https://scholariq.org/topics/reliability-and-agreement-in-measurement/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.