Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach

Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach

Deep venous thrombosis is a critical medical condition that occurs when a blood clot forms in a deep vein, usually in the legs, and can lead to life-threatening complications such as pulmonary embolism if not detected early. Hospitalized patients, especially those with immobility or post-surgical re...

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Bibliographic Details
Main Authors: Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Mihaela Anghele, Catalin Anghel
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Bioengineering
Subjects:
deep venous thrombosis
machine learning
machine learning models in healthcare
artificial intelligence in medical diagnosis
Online Access:https://www.mdpi.com/2306-5354/11/11/1067
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