Results 141 to 150 of about 271,697 (289)

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

European multicentre study on outcome of surgery for sporadic primary hyperparathyroidism

open access: yesBJS (British Journal of Surgery), EarlyView., 2020
Some 5861 patients undergoing first‐time surgery for sporadic primary hyperparathyroidism were registered in the Eurocrine® database between 2015 and 2018. The use of intraoperative parathyroid hormone measurement decreased the risk of conversion and persistent hypercalcaemia.
A. Bergenfelz   +3 more
wiley   +1 more source

Unhealthy behaviours in disaster survivors are associated with scarcity and present bias. [PDF]

open access: yesCommun Psychol
Sawada Y   +10 more
europepmc   +1 more source

Robotic Versus Laparoscopic Anatomic Liver Resection: Comparison of Perioperative Outcomes—A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Minimally invasive anatomic liver resection (AR) including major hepatectomy and liver parenchyma‐sparing AR is technically complex and demanding. This systematic review with meta‐analysis including 15 studies comparing 2042 robotic AR and 2129 laparoscopic AR patients demonstrated largely comparable perioperative outcomes and partly better outcomes ...
Yutaro Kato   +3 more
wiley   +1 more source

Validation of the Health Literacy in Dentistry Scale (HeLD-14) in the Greek Language. [PDF]

open access: yesCureus
Bakali M   +6 more
europepmc   +1 more source

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