AIMC Topic: Blood Transfusion

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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Aged Male Middle Aged Risk Assessment Postoperative Complications Forecasting Humans Databases, Factual Female Machine Learning Risk Factors Creatinine Linear Models Preoperative Period Coronary Artery Bypass Intraoperative Care Length of Stay Blood Loss, Surgical Blood Transfusion Predictive Value of Tests Coronary Artery Disease
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Machine learning-based prediction of transfusion.

Transfusion Jun 28, 2020
BACKGROUND: The ability to predict transfusions arising during hospital admission might enable economized blood supply management and might furthermore increase patient safety by ensuring a sufficient stock of red blood cells (RBCs) for a specific pa...
Hospitalization Humans Predictive Value of Tests Adult Machine Learning Retrospective Studies Male Western Australia Female Blood Transfusion Decision Making, Computer-Assisted
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Editorial Comment.

The Journal of urology Apr 23, 2020
Nephrectomy Kidney Blood Transfusion Robotics Propensity Score
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Vessel and Tension-Free Reconstruction During Robot-Assisted Partial Nephrectomy for Hilar Tumors: "Garland" Technique and Midterm Outcomes.

Journal of endourology Mar 6, 2020
Robot-assisted partial nephrectomy (RAPN) is increasingly applied to renal hilar tumors. The present study aims to introduce our vessel and tension-free reconstruction technique and discuss the perioperative, functional, and midterm oncologic outcom...
Robotics Robotic Surgical Procedures Neoplasm Recurrence, Local Kidney Neoplasms Nephrectomy Humans Retrospective Studies Treatment Outcome Glomerular Filtration Rate Blood Transfusion
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Prediction of perioperative transfusions using an artificial neural network.

PloS one Feb 24, 2020
BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict...
Age Factors Blood Transfusion Postoperative Hemorrhage Sex Factors Perioperative Care Female Risk Factors Sensitivity and Specificity Male Humans Neural Networks, Computer Machine Learning Databases, Factual Computer Simulation Prognosis
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Models, Biological Gastrointestinal Hemorrhage Hemostatic Techniques Middle Aged Aged Risk Assessment Aged, 80 and over ROC Curve Humans Adult Blood Transfusion Machine Learning Male Emergency Service, Hospital Prognosis Female
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Humans Forecasting Databases, Factual Female Aged Male Middle Aged Postoperative Complications Hematocrit Patient Readmission Smoking Age Factors Comorbidity Reoperation Arthroplasty, Replacement, Shoulder Blood Transfusion Length of Stay Serum Albumin Operative Time ROC Curve Predictive Value of Tests Body Mass Index Supervised Machine Learning
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An artificial intelligence-based clinical decision support system for large kidney stone treatment.

Australasian physical & engineering sciences in medicine Jul 22, 2019
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone treatment procedure, particularly percutaneous nephrolithotomy (PCNL). The system can serve as a promising tool to provide counseling before an operation...
Male Middle Aged Decision Support Systems, Clinical Treatment Outcome Blood Transfusion Stents Humans Artificial Intelligence Kidney Calculi Machine Learning Nephrolithotomy, Percutaneous Algorithms Female
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Predictors of blood transfusion use in robotic beating-heart totally endoscopic coronary artery bypass with anastomotic connectors.

Journal of cardiac surgery Jul 3, 2019
BACKGROUND: We sought to identify the independent predictors of blood transfusion requirement in robotic beating-heart patients with totally endoscopic coronary artery bypass (TECAB).
Coronary Artery Bypass Blood Loss, Surgical Prognosis Blood Transfusion Retrospective Studies Male Operative Time Humans Female Middle Aged Robotics Aged Treatment Outcome Coronary Artery Disease Endoscopy Follow-Up Studies
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Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jun 28, 2019
PURPOSE: A blood transfusion after total knee arthroplasty (TKA) is associated with an increase in complication and infection rates. However, no studies have been conducted to predict transfusion after TKA using a machine learning algorithm. The purp...
Female Humans Aged Machine Learning Adult Algorithms Male Retrospective Studies Middle Aged Hemoglobins Tranexamic Acid Arthroplasty, Replacement, Knee Platelet Count Risk Assessment ROC Curve Blood Transfusion Area Under Curve
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