نتایج جستجو برای: area under the curve auc

تعداد نتایج: 16223453  

Daryoush Saedi, Hassan Jafari, Hooman Bakhshandeh, Iman Mohseni, Majid Chalian,

  Abstract   Background: Regarding the variety of tests present for detecting and also screening   prostate cancer and also bearing in mind the advantages and disadvantages of   these tests we decided to re-evaluate these tests (total prostate specific antigen and all   of its modifications) in detecting prostate cancer in men with intermediate serum   PSAlevels.   Methods: Following a cross se...

2014
Martina Kottas Oliver Kuss Antonia Zapf

BACKGROUND The area under the receiver operating characteristic (ROC) curve, referred to as the AUC, is an appropriate measure for describing the overall accuracy of a diagnostic test or a biomarker in early phase trials without having to choose a threshold. There are many approaches for estimating the confidence interval for the AUC. However, all are relatively complicated to implement. Furthe...

Journal: :Biometrics 2003
Lori E Dodd Margaret S Pepe

Accurate diagnosis of disease is a critical part of health care. New diagnostic and screening tests must be evaluated based on their abilities to discriminate diseased from nondiseased states. The partial area under the receiver operating characteristic (ROC) curve is a measure of diagnostic test accuracy. We present an interpretation of the partial area under the curve (AUC), which gives rise ...

2003
Lian Yan Robert H. Dodier Michael C. Mozer Richard H. Wolniewicz

When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However, for many real-world classification problems, the ROC curve is a more meaningful performance measure. We demonstrate that minimizing cross entropy or mean squared error does not necessarily maximize the area under the ...

جعفری, علی, زمانی احمدمحمودی1, رسول, میرزایی, روح‌اله,

This study employs the maximum entropy modelling technique to investigate the geographic distribution pattern of wild sheep (Ovis Orientalis) on Tangeh Sayyad Proteced Area. A set of eight environmental predictors is employed together with presence-only records of wild sheep. Two methods has been used to improve the performance of modeling: density-based occurrence thinning and performance-base...

Journal: :IEICE Transactions 2017
Aji Ery Burhandenny Hirohisa Aman Minoru Kawahara

This paper focuses on differences in comment densities among individual programmers, and proposes to adjust the conventional code complexity metric (the cyclomatic complexity) by using the abnormality of the comment density. An empirical study with nine popular open source Java products (including 103,246 methods) shows that the proposed metric performs better than the conventional one in predi...

Journal: :Investigative ophthalmology & visual science 2011
Dorota H Szczesna David Alonso-Caneiro D Robert Iskander Scott A Read Michael J Collins

PURPOSE To measure tear film surface quality in healthy and dry eye subjects using three noninvasive techniques of tear film quality assessment and to establish the ability of these noninvasive techniques to predict dry eye. METHODS Thirty-four subjects participated in the study and were classified as dry eye or normal, based on standard clinical assessments. Three noninvasive techniques were...

2016
Jinhui Chen Zhaojie Luo Tetsuya Takiguchi Yasuo Ariki

This paper presents a novel classification framework derived from AdaBoost to classify facial expressions. The proposed framework adopts rotation-reversal invariant HOG as features. The Framework is implemented through configuring the Area under ROC curve (AUC) of the weak classifier with HOG, which is a discriminative classification framework. The proposed classification framework is evaluated...

2007
Philip M. Long Rocco A. Servedio

We show that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 (which can be achieved by random guessing) can be efficiently boosted to achieve an area under the ROC curve arbitrarily close to 1. We further show that this boosting can be performed even in the presence of independent misclassification noise, given access to a noise-tolerant weak ranker.

Akram Ghanbari Moghadam, Fateme Ardane, Mojtaba Mohammadi, Shahrbanoo Talebi, Zeinab Karbalaee,

Introduction: Emergency wards today are facing with an increasing numbers of older patients. Therefore, it seems important and essential to develop a short screening tool with an acceptable predictive power to identify the seniors being discharged from hospital and mean while are at risk of a decline in physical and mental performance, and thus, facing re-admission emergency wards in hospitals....

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