Machine Learning for Predicting Postoperative Atrial Fibrillation After Cardiac Surgery: A Scoping Review of Current Literature
AH El-Sherbini, A Shah, R Cheng, A Elsebaie… - The American Journal of …, 2023 - Elsevier
Postoperative atrial fibrillation (POAF) occurs in up to 20% to 55% of patients who
underwent cardiac surgery. Machine learning (ML) has been increasingly employed in …
underwent cardiac surgery. Machine learning (ML) has been increasingly employed in …
[HTML][HTML] Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians
G Brydges, A Uppal, V Gottumukkala - Current Oncology, 2024 - mdpi.com
This narrative review explores the utilization of machine learning (ML) and artificial
intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer …
intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer …
[HTML][HTML] Postoperative atrial fibrillation (POAF) after cardiac surgery: clinical practice review
OR Suero, AK Ali, LR Barron, MW Segar… - Journal of Thoracic …, 2024 - ncbi.nlm.nih.gov
Postoperative atrial fibrillation (POAF) after cardiac surgery is associated with elevated
morbidity and mortality. Although current prediction models have limited efficacy, several …
morbidity and mortality. Although current prediction models have limited efficacy, several …
Application of Ensemble Learning Techniques in Improving Accuracy and Robustness of Medical Classification Models
R Yang - Proceedings of the 2023 4th International Symposium …, 2023 - dl.acm.org
Medical classification is a common research problem in modern medicine, and this paper
utilizes ensemble learning techniques to improve existing machine learning algorithms …
utilizes ensemble learning techniques to improve existing machine learning algorithms …