Results 191 to 200 of about 1,519,550 (358)

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

Integrated Health, Social, and Legal Approaches to Supporting Migrant Women Victims of Human Trafficking and Sexual Violence. [PDF]

open access: yesHealthcare (Basel)
Jiménez-Lasserrotte MDM   +5 more
europepmc   +1 more source

Rising Pancreatic Cancer Incidence in Young Japanese Women and Increasing Distal Pancreatectomy in Older Adults: A Nationwide Claims‐Based Analysis From 2016 to 2023

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido   +10 more
wiley   +1 more source

Merging Law and Medicine: Patient Attitudes About and Experiences with Social Needs Screening and Medical-Legal Partnerships in Primary Care. [PDF]

open access: yesJ Prim Care Community Health
Graham JD   +5 more
europepmc   +1 more source

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