Results 251 to 260 of about 1,348,340 (308)

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

Annals 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, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Temporal trends and projections in the global burden of congenital genitourinary anomalies from 1990 to 2021: A cross-sectional study. [PDF]

J Int Med Res
Xu S, Zhu H, Shen C, Zheng B, Zhang W.
europepmc   +1 more source

Analyzing human factors affecting severe maternal morbidity (SMM) using fuzzy Bayesian network (FBN). [PDF]

Front Med (Lausanne)
Feiz-Arefi M, Laal F, Babaei-Pouya A, Mohammadi Darmiyan H, Pajohideh Z, Ajam A.   +5 more
europepmc   +1 more source

INDUSTRIAL MORBIDITY STATISTICS

American Journal of Public Health, 1925
openaire   +3 more sources

Modeling <i>APOE</i>, morbidity, and mortality: a reproducibility challenge for genetic epidemiology. [PDF]

Front Genet
Häggström Gunfridsson E.
europepmc   +1 more source

Exposure to maternal vaginal flora during labor and long-term infectious morbidity of the offspring. [PDF]

Arch Gynecol Obstet
Ben-Dahan O, Gutvirtz G, Wainstock T, Sheiner E.   +3 more
europepmc   +1 more source

Surgery for colorectal liver metastases: Predictive factors of biliary fistula. [PDF]

Surg Open Sci
Guelbi M, Hajri M, Hadrich Z, Atallah A, Gabsi S, Bayar R, Gharbi L, Omrani S.   +7 more
europepmc   +1 more source

The effects of time and distance to definitive care on morbidity and mortality in pediatric injury patients in Northern Tanzania. [PDF]

J Trop Pediatr
Brady S, Sakita F, Taddie M, VanDerslice JA, Nkini G, Kozhumam A, Nickenig Vissoci JR, Staton C, Mmbaga BT, Keating E.   +9 more
europepmc   +1 more source