Effect of Signal Selection in Receiver Operating Characteristics (ROC) Analysis
نویسندگان
چکیده
منابع مشابه
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
In fuzzy rule-based classification systems, rule weight has often been used to improve the classification accuracy. In past research, a number of heuristic methods for rule weight specification have been proposed. In this paper, a method of fuzzy rule weight specification using Receiver Operating Characteristic (ROC) analysis is proposed. In order to specify the weight of a fuzzy rule, using 2-...
متن کاملReceiver Operating Characteristic ( ROC ) Curves
Assessment of predictive accuracy is a critical aspect of evaluating and comparing models, algorithms or technologies that produce the predictions. In the field of medical diagnosis, receiver operating characteristic (ROC) curves have become the standard tool for this purpose and its use is becoming increasingly common in other fields such as finance, atmospheric science and machine learning. T...
متن کاملCoherence-based optical detection system’s receiver operating characteristics (ROC) curves
High detection probabilities with low false alarm rates, even in the presence of as much as – 28 dB signal to clutter can be obtained, if use is made of the coherence information contained in the input signal. Such a detection system is described and its Receiver Operating Curves (ROC) characterized from a reduced experimental set of data. The system has an input filter with a rectangular passb...
متن کاملReceiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects. The methods of estimate of AUC and its testing in single diagnostic test and also comparative studies...
متن کاملMatched Receiver Operating Characteristic (roc) Analysis and Propensity Scores
1. Introduction Many diagnostic tests are quantitative especially in clinical chemistry. Receiver operating characteristic (ROC) analysis is well recognized statistical tool for the evaluation how well the diagnostic test can discriminate diseased and non-diseased populations. The area under ROC curve (AUC) is often used to summarize the diagnostic accuracy of the diagnostic test. This area, a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Japanese Journal of Radiological Technology
سال: 2010
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.66.1467