AIMC Topic: Blood Coagulation Disorders
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Interpretable machine learning model for early morbidity risk prediction in patients with sepsis-induced coagulopathy: a multi-center study.
Frontiers in immunology
Mar 3, 2025
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic inflammation and coagulopathy. This study aimed to develop and validate a machine learning (ML) model to predict SIC risk in patients with sepsis.
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
Journal of medical Internet research
Jan 22, 2025
BACKGROUND: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic morta...
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...
Deep learning MRI-only synthetic-CT generation for pelvis, brain and head and neck cancers.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Dec 12, 2023
BACKGROUND AND PURPOSE: MRI-only planning relies on dosimetrically accurate synthetic-CT (sCT) generation to allow dose calculation. Here we validated the dosimetric accuracy of sCTs generated using a deep learning algorithm for pelvic, brain and hea...
Low-soluble TREM-like transcript-1 levels early after severe burn reflect increased coagulation disorders and predict 30-day mortality.
Burns : journal of the International Society for Burn Injuries
Dec 15, 2020
BACKGROUND: Patients with severe burns often show systemic coagulation changes in the early stage and even develop extensive coagulopathy. Previous studies have confirmed that soluble TREM-like transcript-1 (sTLT-1) mediates a novel mechanism of haem...
Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.
CNS neuroscience & therapeutics
Nov 28, 2020
AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracerebral hemorrhage admitted to ER. Conventional laboratory indicators require hours for coagulopathy diagnosis, which brings difficulties for appropriate...
Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.
World neurosurgery
Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Mortality
Preoperative Care
Laminectomy
Hypoalbuminemia
Dyspnea
Blood Coagulation Disorders
Smoking
Multivariate Analysis
Odds Ratio
Serum Albumin
Metastasectomy
Hypertension
Spinal Neoplasms
Body Mass Index
Humans
Bayes Theorem
Aged
Ascites
Pulmonary Disease, Chronic Obstructive
Middle Aged
Male
Risk Assessment
Machine Learning
Respiration, Artificial
Female
Weight Loss
Therapeutic hypothermia in patients with coagulopathy following severe traumatic brain injury.
Scandinavian journal of trauma, resuscitation and emergency medicine
Dec 20, 2017
BACKGROUND: Coagulopathy in traumatic brain injury (TBI) has been associated with poor neurological outcomes and higher in-hospital mortality. In general principle of trauma management, hypothermia should be prevented as it directly worsens coagulopa...
Plasma Transfusion in Patients With Cirrhosis in China: A Retrospective Multicenter Cohort Study.
Transfusion medicine reviews
Dec 2, 2016
Patients with cirrhosis used to be associated with frequent use of blood components because of their complex disorder of hemostasis and bleeding complications. Recent findings have indicated that patients with cirrhosis have a state of "rebalanced" o...
Effects of Shen-Fu injection on coagulation-fibrinolysis disorders in a porcine model of cardiac arrest.
The American journal of emergency medicine
Dec 12, 2015
OBJECTIVE: The objective of the study is to investigate the effects of Shen-Fu injection (SFI) on coagulation-fibrinolysis disorders in a porcine model of cardiac arrest.
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