AI Medical Compendium Journal:
Journal of thrombosis and thrombolysis

Showing 1 to 7 of 7 articles

Construction and validation of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine learning study.

Journal of thrombosis and thrombolysis Oct 3, 2024
Central venous access devices (CVADs) are integral to cancer treatment. However, catheter-related thrombosis (CRT) poses a considerable risk to patient safety. It interrupts treatment; delays therapy; prolongs hospitalisation; and increases the physi...
Male Middle Aged Risk Assessment Risk Factors Aged Adult Catheterization, Central Venous Central Venous Catheters Thrombosis Neoplasms Incidence Nomograms Humans Machine Learning Prospective Studies Female
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Prediction of short-term adverse clinical outcomes of acute pulmonary embolism using conventional machine learning and deep Learning based on CTPA images.

Journal of thrombosis and thrombolysis Sep 28, 2024
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorithms based on computed tomography pulmonary angiography (CTPA) images for short-term adverse outcomes in patients with acute pulmonary embolism (APE). T...
Humans Machine Learning Risk Factors Aged Male Prognosis Retrospective Studies Female Pulmonary Embolism Computed Tomography Angiography Middle Aged Deep Learning ROC Curve Predictive Value of Tests Acute Disease
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Machine learning-based prediction model of lower extremity deep vein thrombosis after stroke.

Journal of thrombosis and thrombolysis Jul 27, 2024
This study aimed to apply machine learning (ML) techniques to develop and validate a risk prediction model for post-stroke lower extremity deep vein thrombosis (DVT) based on patients' limb function, activities of daily living (ADL), clinical laborat...
Activities of Daily Living Lower Extremity Stroke Retrospective Studies Female Aged Male Middle Aged Venous Thrombosis Humans Machine Learning
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Artificial intelligence universal biomarker prediction tool.

Journal of thrombosis and thrombolysis Dec 20, 2023
Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and...
Natriuretic Peptide, Brain Peptide Fragments Heart Failure Humans Artificial Intelligence Biomarkers Prognosis
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Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

Journal of thrombosis and thrombolysis Nov 1, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. During this time, the management of people with acute coronary syndromes (ACS) and COVID-19 has become a global issue, especially since...
Risk Factors Infectious Disease Transmission, Patient-to-Professional Infection Control Personal Protective Equipment Occupational Exposure Acute Coronary Syndrome Treatment Outcome Humans Motor Activity Robotics Pandemics Pneumonia, Viral Thrombolytic Therapy COVID-19 ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Coronavirus Infections
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Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Journal of thrombosis and thrombolysis Jan 1, 2020
Traditional statistical models allow population based inferences and comparisons. Machine learning (ML) explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that may account for higher ord...
Acute Coronary Syndrome Models, Cardiovascular Machine Learning Female Humans Male Aged Randomized Controlled Trials as Topic Middle Aged Risk Assessment Fibrinolytic Agents Hemorrhage
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The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Journal of thrombosis and thrombolysis Oct 1, 2017
Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We sought to improve detection and reporting of children with a new diagnosis of VTE by applying natural la...
Child, Preschool Venous Thromboembolism Child Humans Electronic Health Records Venous Thrombosis Ultrasonography Prospective Studies Sensitivity and Specificity Natural Language Processing Adolescent Radiology
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