Results 131 to 140 of about 587,571 (190)

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. [PDF]

World J Clin Cases
Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N.   +4 more
europepmc   +1 more source

Prediction of tumor grade in endometrioid carcinoma using a deep learning radiomics model from ultrasound images: a multicenter study. [PDF]

Quant Imaging Med Surg
Liu X, Xiao W, Li W, Hu X, Xiao M, Qiao J, Luo Q, He F, Gao X, Yin W, Li J, Luo H, Li L, Deng S, Wang Q, Chen S, Qin X, Zhang C.   +17 more
europepmc   +1 more source

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

JMIR Med Inform
Chen HW, Wei PS, Chen YC, Wu JY, Lin CI, Chou YH, Juan YS, Wu WJ, Kao CY, Lee JT.   +9 more
europepmc   +1 more source

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Receiver Operating Characteristic Analysis

American Journal of Roentgenology, 2011
AJR 2011; 197:W784 0361–803X/11/1974–W784 © American Roentgen Ray Society Receiver Operating Characteristic Analysis I read with great interest the article by Ahn et al. [1], “Biopsy of Thyroid Nodules: Comparison of Three Sets of Guidelines,” in the January 2010 issue of the AJR.
Annemarie, Klingenstein, Ingrid, Haritoglou, Markus M, Schaumberger, Martin M, Nentwich, Rüdiger, Hein, Ulrich C, Schaller   +5 more
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Receiver Operator characteristic (ROC) Analysis without Truth

Medical Decision Making, 1990
Receiver operator characteristic (ROC) analysis, the preferred method of evaluating diag nostic imaging tests, requires an independent assessment of the true state of disease, which can be difficult to obtain and is often of questionable accuracy. A new method of analysis is described which does not require independent truth data and which can be used
R M, Henkelman, I, Kay, M J, Bronskill
openaire   +2 more sources

Receiver Operating Characteristic Analysis of Diagnostic Skill

Medical Care, 1983
In an effort to assess diagnostic skill, the authors collected estimates of the probability of positive results for 392 chest x-rays and 595 throat cultures from 56 pediatricians at different stages in training. Positivity rates were 28.6% for x-rays and 32.9% for throat cultures.
D M, Berwick, L A, Thibodeau
openaire   +2 more sources

Multiple Classification and Receiver Operating Characteristic (ROC) Analysis

Medical Decision Making, 1987
The receiver operating characteristic (ROC) curve was applied to observer performances in a multiple-alternative decision task. It was shown that the probability of correct classification, a performance criterion often maximized in multiple-classification procedures, corresponds to the area under an appropriately constructed ROC curve.
W R, Steinbach, K, Richter
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Proper receiver operating characteristic analysis: The bigamma model

Academic Radiology, 1997
The standard binormal model is the most commonly used model for fitting receiver operating characteristic rating data; however, it sometimes produces inappropriate fits that cross the chance line with degenerate data sets. The authors proposed and evaluated a proper constant-shape bigamma model to handle binormal degeneracy.Monte Carlo samples were ...
D D, Dorfman, K S, Berbaum, C E, Metz, R V, Lenth, J A, Hanley, H, Abu Dagga   +5 more
openaire   +2 more sources