Back to search

Article

Predicting biomarker for the acute pulmonary embolism by using gene ontology and machine learning

2023-12-19

Abstract excerpt

<h4>Key Points</h4> Early and Accurate Diagnosis Essential: Acute pulmonary embolism (PE) is a critical condition that demands prompt and precise diagnosis for effective treatment. Limitations of Current Diagnostics: Existing diagnostic methods like Computed Tomography Pulmonary Angiography (CTPA) have certain limitations, leading to the exploration of alternative approaches. Potential of Blood-Based Biomarkers...

Topics

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

Identifiers and source

Literature Corpus work
4016fb93-9432-528f-9202-b014f87b8c9a
DOI
10.1101/2023.12.18.572107
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.
Predicting biomarker for the acute pulmonary embolism by using gene ontology and machine learningDOI 10.1101/2023.12.18.572107
Comprehensive bioinformatic methods and machine learning algorithms to identify diagnostic biomarkers of coronary artery disease progression in pulmonary arterial hypertensionSemantic proximity
Concise Review of the Clinical Approach to the Exclusion and Diagnosis of Pulmonary Embolism in 2020.Semantic proximity
Identification of Potential Biomarkers and Immune Infiltration Characteristics in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics AnalysisSemantic proximity
Prediction of the potential Diagnostic Markers of Peripheral Arterial Disease by machine learning and the Correlation with the Ferroptosis and Network of Cancer GeneSemantic proximity
Identifying potential ferroptosis-related biomarkers and therapeutic targets for IPAH by integrative bioinformatics approachesSemantic proximity
Identifying potential ferroptosis-related biomarkers and therapeutic targets for Idiopathic Pulmonary Hypertension in the context of predictive, preventive, and personalized medicine by integrative bioinformatics approachesSemantic proximity
Establishment and Verification of a Predictive Model for Preeclampsia Based on Bioinformatics AnalysisSemantic proximity
Identification and validation of the ferroptosis-related cardiogenic stroke and atherosclerosis genes, CIRBP, CREB5, MAPK14, PEBP1, and PTGS2 and their association with pan-cancer and immune cellsSemantic proximity
Transcriptomic analysis reveals potential biomarkers for early-onset pre-eclampsia using integrative bioinformatics and LASSO based approachSemantic proximity
Identification of Ferroptosis-related potential biomarkers and immunocyte characteristics in Chronic Thromboembolic Pulmonary Hypertension via bioinformatics analysisSemantic proximity
Evaluation of genes and molecular pathways involved in the development of cardiovascular disease in preeclampsia patients: biological system and bioinformatics analysis approachSemantic proximity
Bioinformatics Analysis and Experimental Validation to Identify Hub Genes in Pulmonary Arterial HypertensionSemantic proximity
Select a neighboring publication to make it the new centre.