Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients

Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients

Abstract Background Identification of distinct clinical phenotypes of diseases can guide personalized treatment. This study aimed to classify hospitalized COVID-19 pneumonia subgroups using an unsupervised machine learning approach. Methods We included hospitalized COVID-19 pneumonia patients from J...

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Main Authors: Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Pulmonary Medicine
Subjects:
COVID-19
Pneumonia
Clustering analysis
Machine learning
Mortality
Online Access:https://doi.org/10.1186/s12890-025-03536-w
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https://doi.org/10.1186/s12890-025-03536-w

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