AIMC Topic: International Normalized Ratio
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Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters.
Neurologia medico-chirurgica
Dec 25, 2024
This study aimed to investigate the patterns of anticoagulation therapy and coagulation parameters and to develop a prediction model to predict the type of anticoagulation therapy in geriatric patients with traumatic brain injury. A retrospective ana...
A machine learning-based Coagulation Risk Index predicts acute traumatic coagulopathy in bleeding trauma patients.
The journal of trauma and acute care surgery
Sep 27, 2024
BACKGROUND: Acute traumatic coagulopathy (ATC) is a well-described phenomenon known to begin shortly after injury. This has profound implications for resuscitation from hemorrhagic shock, as ATC is associated with increased risk for massive transfusi...
Stable warfarin dose prediction in sub-Saharan African patients: A machine-learning approach and external validation of a clinical dose-initiation algorithm.
CPT: pharmacometrics & systems pharmacology
Dec 9, 2021
Warfarin remains the most widely prescribed oral anticoagulant in sub-Saharan Africa. However, because of its narrow therapeutic index, dosing can be challenging. We have therefore (a) evaluated and compared the performance of 21 machine-learning tec...
Development of a system to support warfarin dose decisions using deep neural networks.
Scientific reports
Jul 20, 2021
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 1...
Reduction of quantitative systems pharmacology models using artificial neural networks.
Journal of pharmacokinetics and pharmacodynamics
Mar 2, 2021
Quantitative systems pharmacology models are often highly complex and not amenable to further simulation and/or estimation analyses. Model-order reduction can be used to derive a mechanistically sound yet simpler model of the desired input-output rel...
Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms.
PloS one
Oct 9, 2020
The prediction of the liver failure (LF) and its proper diagnosis would lead to a reduction in the complications of the disease and prevents the progress of the disease. To improve the treatment of LF patients and reduce the cost of treatment, we bui...
Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.
Lung
May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Heart Rate
Natriuretic Peptide, Brain
Fibrin Fibrinogen Degradation Products
Computed Tomography Angiography
Clinical Decision Rules
Oxygen
Humans
Comorbidity
International Normalized Ratio
Machine Learning
Case-Control Studies
Pulmonary Embolism
Intensive Care Units
Length of Stay
Creatinine
Female
Body Mass Index
Hospitals, University
Aged
Adult
Asthma
Male
Middle Aged
Disease Progression
Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Aspartate Aminotransferases
Bilirubin
Liver Cirrhosis, Alcoholic
Gastrointestinal Hemorrhage
Hepatic Encephalopathy
Serum Albumin
Blood Urea Nitrogen
Humans
Endoscopy, Digestive System
Machine Learning
Thrombocytopenia
Risk Assessment
Hemoglobins
Esophageal and Gastric Varices
Severity of Illness Index
Sodium
Prospective Studies
Ascites
Platelet Count
Liver Cirrhosis
Female
Creatinine
Mass Screening
Hepatitis C, Chronic
Aged
Non-alcoholic Fatty Liver Disease
International Normalized Ratio
Alanine Transaminase
Male
Middle Aged
Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...
A Comparative Study of Point-of-Care Prothrombin Time in Cardiopulmonary Bypass Surgery.
Journal of cardiothoracic and vascular anesthesia
Dec 29, 2017
OBJECTIVE: Point-of-care (POC) devices allow for prothrombin time/international normalized ratio (PT/INR) testing in whole blood (WB) and timely administration of plasma or prothrombin complex concentrate during cardiopulmonary bypass surgery. This s...
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