Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients
We identified three distinct clinical phenotypes of COVID-19 pneumonia patients, with cluster 3 associated with an increased risk of respiratory failure and mortality. These findings may guide tailored clinical management strategies.
Authors
- Somnuek Sungkanuparph M. D (ORCID: https://orcid.org/0000-0002-1055-2963)
- Detajin Junhasavasdikul (ORCID: https://orcid.org/0000-0002-0300-407X)
- Viboon Boonsarngsuk (ORCID: https://orcid.org/0000-0002-2115-3984)
- Tananchai Petnak (ORCID: https://orcid.org/0000-0002-7633-4029)
- Pongdhep Theerawit (ORCID: https://orcid.org/0000-0002-2070-8917)
- Dararat Eksombatchai
- Yuda Sutherasan (ORCID: https://orcid.org/0000-0003-1754-0962)
- Ratchainant Thammasudjarit (ORCID: https://orcid.org/0000-0002-1365-3428)
- Tanapat Tassaneyasin
- Nuttinan Nalinthasnai
Institutions
- Mahidol University (TH)
- Ramathibodi Hospital (TH)
- Srinakharinwirot University (TH)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-02-08
- DOI
- https://doi.org/10.1186/s12890-025-03536-w
- Citations
- 4
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 5.44