Results 201 to 210 of about 2,919,066 (271)

Comparing the power of obesity indices to predict cardiovascular diseases at different ages: An application of conditional time-dependent ROC curve in Healthy Heart Cohort of Yazd, Iran. [PDF]

ARYA Atheroscler
Khademi Kolah Loui MH, Jambarsang S, Namayandeh SM, Tabatabaei SM, Hozhabrnia A, Sefidkar R.   +5 more
europepmc   +1 more source

Preoperative Aortic Calcification Volume Predicts Postoperative Complications in Nonpancreatic Cancer Patients Undergoing Pancreaticoduodenectomy

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi, Kentaro Miyake, Kota Sahara, Jun Yamamoto, Yutaro Kikuchi, Yasuhiro Yabushita, Yu Sawada, Yuki Homma, Ryusei Matsuyama, Itaru Endo   +9 more
wiley   +1 more source

Establishing minimal clinically important differences for the quality of life scale QLICD-SLE for patients with systemic lupus erythematosus based on ROC curve. [PDF]

Sci Rep
Liu Y, Xue H, Wong W, Ding H, Chen M, Xie T, Wan C.   +6 more
europepmc   +1 more source

Is the area under an ROC curve a valid measure of the performance of a screening or diagnostic test?

Journal of Medical Screening, 2014
N. Wald, JP Bestwick
semanticscholar   +1 more source

Serum Bile Acids Are Useful Indicators of Intrahepatic Recurrence After Initial Curative Hepatectomy for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Bile acids accumulation in hepatocytes causes liver damage and contributes to the development of hepatocellular carcinoma. However, the association between serum bile acid levels and postoperative intrahepatic recurrence in hepatocellular carcinoma remains unclear.
Tomoaki Bekki, Masahiro Ohira, Yuki Imaoka, Seiichi Simizu, Tomoyuki Abe, Shintaro Kuroda, Hiroyuki Tahara, Kentaro Ide, Tsuyoshi Kobayashi, Hideki Ohdan   +9 more
wiley   +1 more source

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis. [PDF]

Kaohsiung J Med Sci
Hu CY, Sun LC, Lin MY, Chen MH, Hsu HT.
europepmc   +1 more source

The ROC curve for regularly measured longitudinal biomarkers. [PDF]

Biostatistics, 2019
Michael H, Tian L, Ghebremichael M.
europepmc   +1 more source

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

Correction to 'Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale'. [PDF]

Int J Psychol
europepmc   +1 more source

Performance Analysis of Anaplasma Antibody Competitive ELISA Using the ROC Curve for Screening of Anaplasmosis in Camel Populations in Egypt. [PDF]

Pathogens, 2020
Parvizi O, El-Adawy H, Roesler U, Neubauer H, Mertens-Scholz K.   +4 more
europepmc   +1 more source