- ML Model Detects Patients at Risk of Postoperative Issues🔍
- Electrocardiographic deep learning for predicting post|procedural ...🔍
- Derivation and validation of machine learning models for ...🔍
- Multicenter Validation of Individual Preoperative Motor Outcome ...🔍
- Machine Learning Predicts Unplanned Care Escalations for Post ...🔍
- Temporal Generalizability of Machine Learning Models for ...🔍
- Preoperative CT|based deep learning radiomics model to predict ...🔍
- Machine learning and preoperative risk prediction🔍
Multi|center validation of machine learning model for preoperative ...
ML Model Detects Patients at Risk of Postoperative Issues
If need be, patients can be directed to 'prehabilitation' services, such as a referral to the UPMC Center for Perioperative Care, or be advised ...
Electrocardiographic deep learning for predicting post-procedural ...
We trained and validated a deep-learning algorithm based on waveform signals from a single preoperative 12-lead ECG, termed PreOpNet, on the ...
Derivation and validation of machine learning models for ...
This study provides a preoperative microvascular invasion prediction model based on readily available clinical and radiographic characteristics using machine ...
Multicenter Validation of Individual Preoperative Motor Outcome ...
In general, the translation from a potent machine learning prediction model ... multi-center, single-arm crossover study [abstract] . Nice ...
Machine Learning Predicts Unplanned Care Escalations for Post ...
... Perioperative Period: A Single-Center Retrospective Study. Original ... Jehi et al, “Development and validation of a model for ...
Temporal Generalizability of Machine Learning Models for ...
The objective of this study was to validate the temporal generalizability of decision tree ensemble and sparse linear regression models for predicting delirium ...
Preoperative CT-based deep learning radiomics model to predict ...
Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
Machine learning and preoperative risk prediction - ScienceDirect.com
Machine learning is a powerful tool that could lead to increasingly complex risk prediction models with improved predictive performance.
Control Study on Machine Learning versus the International Esodata ...
Center 1 served as ML training cohort and center 2 as independent ML validation cohort. ... ML algorithms for the preoperative prediction of 90-day ...
Development and validation of machine learning models to predict ...
Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical ...
Frontiers | Multi-Size Deep Learning Based Preoperative Computed ...
In our study, all patients included are from one single center, which may cause bias for the model validation. In addition, our CT images ...
Establishing and clinically validating a machine learning model for ...
Despite improvements in surgical techniques and perioperative management, postoperative unplanned reoperation is still closely associated with ...
The preoperative machine learning algorithm for extremity ...
The Skeletal Oncology Research Group (SORG) machine-learning (ML) algorithm has been previously developed and internally validated. The purpose ...
Machine learning-augmented interventions in perioperative care
of ML-driven model validation studies within the context of thoracic surgery highlighted that ML algorithms such as support vector machines, ...
After validation, the model was deployed across 20 UPMC hospitals. ... Center for Perioperative Care, lowering their risk of complications.
Machine learning models to predict success of endoscopic sleeve ...
Single-center internal validation—ML models using preoperative data only show suboptimal ROC-AUC for both TWL% and EWL% achievement prediction. The addition ...
Development and validation of machine learning models to predict ...
Statistical assessments have revealed that frequent preoperative transient ischemic attacks and cerebral ischemia as the onset mode increase the ...
Machine learning-based prediction of anatomical outcome after ...
... preoperative OCT parameters and clinical variables from a multi-center population. ... Training and validation of the ML models. A total of 1,792 ...
Machine learning models to predict success of endoscopic sleeve ...
Single-center internal validation: Preoperative data only ML models show suboptimal performance. Early, i.e., 3-month follow-up data addition ...
Development of preoperative and postoperative machine learning ...
... validation of a machine learning prognostic model for hepatocellular carcinoma recurrence after surgical resection. Front Oncol. 10 ...