Clinical Trial: Data Clustering Study With Artificial Intelligence and Phenotyping of Patients With Acute Pulmonary Embolism
Study Status: COMPLETED
Recruit Status: COMPLETED
Condition: Pulmonary Embolism
Study Type: OBSERVATIONAL
Official Title: Data Clustering Study With Artificial Intelligence and Phenotyping of Patients Who Presented With Acute Pulmonary Embolism
Brief Summary:
The aim will be to identify clinically relevant phenotypes in patients with acute pulmonary embolism. Hierarchical clustering methods combined with unsupervised learning (machine learning) will be used to obtain groups of patients who are homogeneous at diagnosis. Evaluating their prognosis at 6 months (recurrence or chronic thromboembolic pulmonary hypertension), account the first 3 months of anticoagulant treatment, would provide an aid to medical decision-making.This research will include a retrospective and a…
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