- An ensemble machine learning approach to predict postoperative ...🔍
- An Ensemble Learning Approach to Improving Prediction of Case ...🔍
- Machine Learning Approaches for the Prediction of Postoperative ...🔍
- Ensemble machine learning algorithm for predicting acute kidney ...🔍
- A Machine Learning Approach for Postoperative Outcome Prediction🔍
- An ensemble Machine Learning approach for predicting Type|II ...🔍
- Machine Learning Prediction of Postoperative ...🔍
- Machine learning approach to predicting persistent opioid use ...🔍
An ensemble machine learning approach to predict postoperative ...
An ensemble machine learning approach to predict postoperative ...
Using machine learning techniques, XGBoost to predict postoperative 90-day mortality, using diagnostic and operation codes, the prediction ...
An ensemble machine learning approach to predict postoperative ...
This study developed a preoperative frailty prediction model using machine learning techniques that can be used in various clinical settings with improved ...
An ensemble machine learning approach to predict postoperative ...
Conclusions: The OFRS using diagnostic and operation codes may show the best predictive performance for 90-day mortality compared to other risk scores, and it ...
An ensemble machine learning approach to predict postoperative ...
Prediction of preoperative frailty risk in the emergency setting is a challenging issue because preoperative evaluation cannot be done sufficiently.
An ensemble machine learning approach to predict postoperative ...
Abstract Background Prediction of preoperative frailty risk in the emergency setting is a challenging issue because preoperative evaluation cannot be done ...
(PDF) An ensemble machine learning approach to predict ...
The predictive performance of the model for postoperative 90-day mortality was compared with those of previous frailty evaluation tools such as Operation ...
An Ensemble Learning Approach to Improving Prediction of Case ...
Current predictive techniques in spine surgery include less sophisticated approaches such as classical multivariable statistical models. Machine ...
Machine Learning Approaches for the Prediction of Postoperative ...
Malignant cancer and an increase in C-reactive protein (CRP) are significant risk factors for patients who have undergone emergency surgery due to major ...
Ensemble machine learning algorithm for predicting acute kidney ...
Considerable research has focused on the application of ML methods in the prediction of postoperative mortality, recurrence, and adverse events ...
A Machine Learning Approach for Postoperative Outcome Prediction
Using SDS principles in thoracic surgery for the first time, an ML model able to predict cardiopulmonary complications after lung resection based on 50 ...
An ensemble Machine Learning approach for predicting Type-II ...
In this study, a new ensemble learning-based framework is proposed for the early predicting of Type-II diabetes mellitus using lifestyle indicators.
Machine Learning Prediction of Postoperative ... - Velibor Misic
Conclusions: A machine learning approach to predicting postoperative ... another type of tree ensemble model and also works by growing multiple ...
Machine learning approach to predicting persistent opioid use ...
Methods We compared various predictive models to identify at-risk patients for persistent postoperative opioid use using various preoperative, intraoperative, ...
Surgical Data Science Application in a Thoracic Surgery Setting
Request PDF | A Machine Learning Approach for Postoperative Outcome Prediction: Surgical Data Science Application in a Thoracic Surgery Setting ...
Ensemble machine learning for the prediction of patient-level ...
SL improved prediction of thyroidectomy-specific outcomes when compared with benchmark logistic regression approaches. For postoperative hypocalcemia prior to ...
Effect of machine learning models on clinician prediction of ...
∙ Choi, I.C.. An ensemble machine learning approach to predict postoperative mortality in older patients undergoing emergency surgery. BMC ...
A Machine Learning Approach to Predict Postoperative Pancreatic ...
A user-friendly risk calculator to predict CR-POPF following PD using state-of-the-art machine learning (ML) algorithms and only preoperatively known ...
Deep learning-based prediction of post-pancreaticoduodenectomy ...
Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate prediction.
Prediction of Complications and Prognostication in Perioperative ...
A machine learning approach to predicting early and late postoperative reintubation. ... Ensemble machine learning prediction and variable importance ...
Machine learning approach to predict postoperative opioid ... - PLOS
Our objective was to develop machine learning models to predict postoperative opioid requirements in patients undergoing ambulatory surgery.