Article

Utility of Clustering in Mortality Risk Stratification in Pulmonary Hypertension

2025-03-18

Abstract excerpt

INTRODUCTION: Pulmonary hypertension (PH) is a condition characterized by increased pressure in the pulmonary arteries with poor prognosis and, so, an optimal management is necessary. OBJECTIVES: The study aim was to search for PH phenotypes and develop a predictive model of five-year mortality using machine learning (ML) algorithms. METHODS: This multicenter study was conducted on 122 PH patients. Clinical and de...

Topics

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

Identifiers and source

Literature Corpus work: 3426399f-3818-525d-bfca-e22de123c6ae
DOI: 10.20944/preprints202503.1369.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Utility of Clustering in Mortality Risk Stratification in Pulmonary HypertensionDOI 10.20944/preprints202503.1369.v1Read

Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.Semantic proximity Read

Idiopathic pulmonary arterial hypertension phenotypes determined by cluster analysis from the COMPERA registry.Semantic proximity Read

Clinical implications of idiopathic pulmonary arterial hypertension phenotypes defined by cluster analysis.Semantic proximity Read

[The role of pulmonary arterial pressure in chronic obstructive pulmonary disease phenotypes based on cluster analysis and its prognostic value].Semantic proximity Read

An official American Thoracic Society Statement: pulmonary hypertension phenotypes.Semantic proximity Read

Advanced Hemodynamic and Cluster Analysis for Identifying Novel RV function subphenotypes in Patients with Pulmonary HypertensionSemantic proximity Read

Advanced hemodynamic and cluster analysis for identifying novel RV function subphenotypes in patients with pulmonary hypertension.Semantic proximity Read

Clinical phenotypes and risk of early hemodynamic deterioration in intermediate-high-risk patients with acute pulmonary embolism.Semantic proximity Read

Predicting high-risk pre-capillary pulmonary hypertension: An echocardiographic multiparameter scoring indexSemantic proximity Read

Phenotypes in pulmonary hypertension.Semantic proximity Read

Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.Semantic proximity Read

The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.Semantic proximity Read