Results 81 to 90 of about 488,717 (225)
The receiver operating characteristic (ROC) curve for arousal classification using the deep learning model.
Ao Li (15375) +3 more
core +1 more source
Receiver operating characteristic (ROC) curves were generated to obtain classification area under the curve (AUC) as a function of feature standardization, fuzzification, and sample size from nine large sets of cancer-related DNA microarrays. Classifiers
Leif E. Peterson, M. Coleman
semanticscholar +1 more source
Empirical and Kernel Estimation of the ROC Curve
The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
doaj
The Classification of Economic Activity into Expansions and Recessions [PDF]
The Business Cycle Dating Committee (BCDC) of the National Bureau of Economic Research provides a historical chronology of business cycle turning points. This paper investigates three central aspects about this chronology: (1) How skillful is the BCDC in
Oscar Jorda, Travis Berge
core
Coordinates of the receiver operating characteristic (ROC) curve.
Coordinates of the receiver operating characteristic (ROC) curve.
Ng Chong Guan (6400754) +4 more
core +1 more source
Receiver operating characteristic (ROC) curve of the Medical Admission Prediction Score.
Receiver operating characteristic (ROC) curve of the Medical Admission Prediction Score.
Abdelnaser Y. Awad Elzouki (17373503) +11 more
core +1 more source
Context: Existing biochemical tests for polycystic ovary syndrome (PCOS) have poor sensitivity and specificity. Many women with PCOS have high anti-Müllerian hormone (AMH) concentrations; thus, this may be a useful addition to the diagnostic criteria ...
Iliodromiti, S. +7 more
core +1 more source
Receiver operating characteristic curve of total protein.
The area under the ROC curve was 0.7308. ROC, receiver operating characteristic.
Jun Kubota (1314747) +7 more
core +1 more source
Receiver operating characteristic (ROC) curve analysis of IASQ against CARS2 (n = 285).
Receiver operating characteristic (ROC) curve analysis of IASQ against CARS2 (n = 285).
Satish Iyengar (4172776) +10 more
core +1 more source
Anthropometric cutoff values for detecting metabolic abnormalities in Jordanian adults
Yousef S Khader1, Anwar Batieha1, Hashim Jaddou1, Zahi Batieha2, Mohammed El-Khateeb3, Kamel Ajlouni31Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan ...
Khader Y +5 more
doaj

