AIMC Topic: Peripheral Arterial Disease

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Natural language processing of clinical notes for identification of critical limb ischemia.

International journal of medical informatics Dec 28, 2017
BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHR...
Data Mining Ischemia Male Case-Control Studies Peripheral Arterial Disease Natural Language Processing Lower Extremity Female Aged Algorithms Electronic Health Records Humans
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Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Journal of vascular surgery Feb 8, 2017
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative n...
Humans Algorithms Retrospective Studies Electronic Health Records Ankle Brachial Index Databases, Factual International Classification of Diseases Minnesota Administrative Claims, Healthcare Models, Statistical Lower Extremity Natural Language Processing Peripheral Arterial Disease Data Mining
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The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery Jun 3, 2016
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...
Middle Aged Ankle Brachial Index Linear Models Risk Assessment Coronary Angiography ROC Curve Databases, Factual Aged Data Mining Prognosis Male Algorithms Reproducibility of Results Peripheral Arterial Disease Decision Support Techniques Risk Factors Humans Predictive Value of Tests Female Machine Learning Genomics Area Under Curve Logistic Models
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ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.

PloS one Jan 1, 2025
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions. However, these methods often face challenges of high computational c...
Machine Learning Computer Simulation Hemodynamics Humans Neural Networks, Computer Aortic Dissection Hydrodynamics Models, Cardiovascular Peripheral Arterial Disease Stress, Mechanical
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Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and cerebrovascular events. There are no readily available risk scores that can accurately identify which patients are most likely to sustain an event, mak...
Humans Machine Learning Prognosis Risk Factors Aged Aged, 80 and over Electronic Health Records Female Peripheral Arterial Disease Tertiary Care Centers Cerebrovascular Disorders Risk Assessment Heart Diseases Time Factors Data Mining United States Male Middle Aged
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