AIMC Topic: Venous Thromboembolism

Clear Filters Showing 21 to 30 of 52 articles

Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model.

BMC emergency medicine May 10, 2021
BACKGROUND: Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients and has an adverse impact on patient outcomes. However, there is still a lack of appropriate tools for effectively predicting VTE for trauma patients. W...
Risk Factors Hospitalization Risk Assessment Humans Venous Thromboembolism Machine Learning Wounds and Injuries Retrospective Studies
View on PubMed DOI

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.

JAMA network open May 3, 2021
IMPORTANCE: Anticipating the risk of gastrointestinal bleeding (GIB) when initiating antithrombotic treatment (oral antiplatelets or anticoagulants) is limited by existing risk prediction models. Machine learning algorithms may result in superior pre...
Venous Thromboembolism Antifibrinolytic Agents Young Adult Gastrointestinal Hemorrhage Myocardial Ischemia Clinical Decision-Making Adult Predictive Value of Tests Humans Female Cross-Sectional Studies Fibrinolytic Agents Machine Learning Male Aged Thienopyridines Anticoagulants Retrospective Studies Aged, 80 and over Adolescent Middle Aged Atrial Fibrillation Cohort Studies Risk Assessment United States
View on PubMed DOI

Personalized Risk Prediction for 30-Day Readmissions With Venous Thromboembolism Using Machine Learning.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Feb 22, 2021
PURPOSE: The aim of the study was to develop and validate machine learning models to predict the personalized risk for 30-day readmission with venous thromboembolism (VTE).
Humans Machine Learning Retrospective Studies Electronic Health Records Middle Aged Risk Assessment Models, Statistical Patient Readmission Venous Thromboembolism Female Aged Adult Male Academic Medical Centers
View on PubMed DOI

Validation of the Khorana Score for Prediction of Venous Thromboembolism After Robot-Assisted Radical Cystectomy.

Journal of endourology Dec 30, 2020
The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patients. We sought to assess the association between KS and VTE for patients who underwent robot-assisted radical cystectomy (RARC). We reviewed our pros...
Robotics Venous Thromboembolism Cystectomy Urinary Bladder Humans Retrospective Studies Risk Factors
View on PubMed DOI

Continuous Infusion Low-Dose Unfractionated Heparin for the Management of Hypercoagulability Associated With COVID-19.

Journal of pharmacy practice Oct 14, 2020
INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) is associated with severe hypercoagulability. There is currently limited evidence supporting the routine use of therapeutic anticoagulation in the setting of COVID-19.
Venous Thromboembolism Anticoagulants COVID-19 Drug Treatment Humans Thrombosis Retrospective Studies Hemorrhage Adult Thrombophilia Heparin
View on PubMed DOI

Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database.

Surgical endoscopy Jan 17, 2020
BACKGROUND: Postoperative gastrointestinal leak and venous thromboembolism (VTE) are devastating complications of bariatric surgery. The performance of currently available predictive models for these complications remains wanting, while machine learn...
Diagnosis, Computer-Assisted Cohort Studies Logistic Models Bariatric Surgery Venous Thromboembolism Machine Learning Anastomotic Leak Databases, Factual Adult Postoperative Complications Humans Neural Networks, Computer
View on PubMed DOI

Factor Xa inhibitors in clinical practice: Comparison of pharmacokinetic profiles.

Drug metabolism and pharmacokinetics Oct 25, 2019
BACKGROUND: The anticoagulant actions of oral direct factor Xa (FXa) inhibitors can be inferred from their observed plasma concentrations; however, the steady-state pharmacokinetics (PK) of different FXa inhibitors have not been compared in clinicall...
Venous Thromboembolism Thiazoles Blood Coagulation Tests Humans Factor Xa Prospective Studies Male Pyridines Factor Xa Inhibitors Female Chromatography, Liquid Anticoagulants Aged Pyrazoles Pyridones Tandem Mass Spectrometry Rivaroxaban Atrial Fibrillation
View on PubMed DOI

Multi-Objective Optimization for Personalized Prediction of Venous Thromboembolism in Ovarian Cancer Patients.

IEEE journal of biomedical and health informatics Sep 24, 2019
Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with ovarian cancer having one of the highest incidence rates. The need to prevent these events through the prescription of adequate schemes of antithrombot...
Ovarian Neoplasms Biomarkers Venous Thromboembolism Humans Precision Medicine Machine Learning Female Algorithms Middle Aged Aged Databases, Factual Risk Assessment Aged, 80 and over Models, Statistical Adult
View on PubMed DOI

Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma.

PloS one Apr 10, 2019
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to conventional statistical approaches in predicting trauma death. The objective of this study is to evaluate whether machine learning algorithms can be used to...
Female Adult Male Middle Aged ROC Curve Blood Transfusion Respiratory Distress Syndrome Risk Assessment Time Factors Decision Support Techniques Prospective Studies Prognosis Clinical Decision-Making Multiple Organ Failure Humans Models, Biological Machine Learning Venous Thromboembolism Wounds and Injuries
View on PubMed DOI

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery Jul 26, 2018
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...
Venous Thromboembolism Quality Improvement Algorithms Postoperative Complications Humans Venous Thrombosis Natural Language Processing Pulmonary Embolism
View on PubMed DOI
Popular Topics
Recent Journals