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References from Convolutional neural network for red blood cell transfusion prediction: A machine learning based study. Local targets link to admitted publications; unresolved targets remain external evidence.
Blood transfusion reactions‐a comprehensive review of the literature including a swiss perspective
10.3390/jcm11102859 · 2022 · External reference
Evidence and triggers for the transfusion of blood and blood products
10.1111/anae.12893 · 2015 · External reference
Patient blood management: transfusion appropriateness in the post‐operative period
2019 · External reference
Transfusion thresholds for guiding red blood cell transfusion
2021 · External reference
Update on transfusion‐related acute lung injury: an overview of its pathogenesis and management
10.3389/fimmu.2023.1175387 · 2023 · External reference
The recipe for TACO: a narrative review on the pathophysiology and potential mitigation strategies of transfusion‐associated circulatory overload
10.1016/j.blre.2021.100891 · 2022 · External reference
Noninfectious transfusion‐associated adverse events and their mitigation strategies
10.1182/blood-2018-10-833988 · 2019 · External reference
A global definition of patient blood management
10.1213/ane.0000000000005873 · 2022 · External reference
Provision of peri‐operative patient blood management strategies in the UK: a national survey of practice
10.1111/anae.16579 · 2025 · External reference
Impact of red blood cell transfusion strategies in haemato‐oncological patients: a systematic review and meta‐analysis
10.1111/bjh.14641 · 2017 · External reference
Development and validation of a multivariable prediction model in pediatric liver transplant patients for predicting intensive care unit length of stay
10.1111/pan.14736 · 2023 · External reference
An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery
10.1186/s12871-024-02832-y · 2024 · External reference
Artificial intelligence and machine learning in clinical medicine, 2023
10.1056/nejmra2302038 · 2023 · External reference
Artificial intelligence and machine learning in patient blood management: a scoping review
10.1213/ane.0000000000006047 · 2022 · External reference
Machine learning in medicine
10.1161/circulationaha.115.001593 · 2015 · External reference
TERL: classification of transposable elements by convolutional neural networks
10.1093/bib/bbaa185 · 2021 · External reference
Deep learning in bioinformatics
2017 · External reference
Deep learning in bioinformatics: introduction, application, and perspective in the big data era
10.1016/j.ymeth.2019.04.008 · 2019 · External reference
Decision tree models for data mining in hit discovery
10.1517/17460441.2012.668182 · 2012 · External reference
Decision trees: an overview and their use in medicine
10.1023/a:1016409317640 · 2002 · External reference
Decision trees and random forests
10.1016/j.ajodo.2023.09.011 · 2023 · External reference
A review on longitudinal data analysis with random forest
10.1093/bib/bbad002 · 2023 · External reference
Support vector machines
10.1016/j.ajodo.2023.08.003 · 2023 · External reference
Development and validation of machine learning models for intraoperative blood transfusion prediction in severe lumbar disc herniation
10.1016/j.isci.2024.111106 · 2024 · External reference
Machine learning‐based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery
10.1097/eja.0000000000001721 · 2022 · External reference
A precise blood transfusion evaluation model for aortic surgery: a single‐center retrospective study
10.1007/s10877-023-01112-3 · 2024 · External reference
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence
10.1186/s12911-023-02286-1 · 2023 · External reference
Development and performance evaluation of a clinical predictive model to estimate the risk of red blood cell requirements in brain tumor surgery
10.1097/ana.0000000000000793 · 2023 · External reference
Random forest versus logistic regression: a large‐scale benchmark experiment
10.1186/s12859-018-2264-5 · 2018 · External reference
Predicting the future ‐ big data, machine learning, and clinical medicine
10.1056/nejmp1606181 · 2016 · External reference
Intelligent prediction of RBC demand in trauma patients using decision tree methods
2021 · External reference
Introduction to machine learning, neural networks, and deep learning
2020 · External reference
eDoctor: machine learning and the future of medicine
10.1111/joim.12822 · 2018 · External reference
Optimizing RBC transfusion outcomes in patients with acute illness and in the chronic transfusion setting
10.1016/j.tmrv.2023.150758 · 2023 · External reference
