نتایج جستجو برای: receiver operator characteristic curve

تعداد نتایج: 404008  

Aim: This study aimed to assess the relationship of screen time and metabolic syndrome (MetS) among Iranian adolescents. Materials and Methods  In this nationwide study, the propensity score (PS) was used in a matched case-control study design. The data was obtained from 5,625 students aged 10-18 years, who participated in a national school-based surveillance program. MetS was defined accordi...

2006
Jiezhun Gu Subhashis Ghosal Anindya Roy

Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose a fully nonparametric Bayesi...

Journal: :Journal of the American College of Cardiology 1991

Journal: :iranian journal of radiation research 0
p. abdolmaleki department of biophysics, tarbiat modarres university, tehran, iran m. mokhtari dizaji m.r. vahead m. gity

background: logistic discriminant method was applied to differentiate malignant from benign in a group of patients with proved breast lesions on the basis of ultrasonic parameters. materials and methods: our database include 273 patients' ultrasonographic pictures consisting of 14 quantitative variables. the measured variables were ultrasound propagation velocity, acoustic impedence and at...

Journal: :journal of medical signals and sensors 0
vahid mohammadi saffarzadeh alireza osareh bita shadgar

detecting blood vessels is an important task in retinal image analysis.  the task is more challenging with the presence of bright and dark lesions in retinal images. here, a method is proposed to detect vessels in both normal and abnormal retinal fundus images based on their linear features. first, the negative impact of bright lesions is reduced by using k-means segmentation in a perceptive sp...

2006
Stijn Vanderlooy Ida G. Sprinkhuizen-Kuyper Evgueni N. Smirnov

The performance of a classifier can be improved by abstaining on uncertain instance classifications. The transformation from the original Receiver Operator Characteristic (ROC) curve to the curve obtained by abstention is provided. We include proofs on dominance of this new ROC curve to aid classifier selection and to show the effectiveness of the approach. For specific cost and class distribut...

Journal: :Head & neck 2016
Douglas B Chepeha Matthew E Spector Steven B Chinn Keith A Casper Eric J P Chanowski Jeffrey S Moyer Robert Morrison Emily Carvill Teresa H Lyden

BACKGROUND The purpose of this study was to model >12 month speech and the oral phase of swallowing outcomes with the reconstructive metrics of tongue elevation and protrusion in patients reconstructed with the rectangle tongue template for a hemiglossectomy defect. METHODS We conducted a study using 40 surviving patients (23 men, 17 women) treated between 2000 and 2012. Statistically signifi...

Journal: :Journal of the College of Physicians and Surgeons--Pakistan : JCPSP 2015
Muhammad Salman Rafiq Mah Muneer Khan Attaullah Khan Hizullah Jan

OBJECTIVE To evaluate the Lintula score in reducing negative appendectomies in the adult population. STUDY DESIGN Descriptive analytical study. PLACE AND DURATION OF STUDY Surgical Department, Khyber Teaching Hospital, Peshawar, Pakistan, from August 2012 to April 2014. METHODOLOGY A total of 408 emergency patients with a clinical diagnosis of acute appendicitis were included in the study...

2017
M. C. Pardo

Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we introduce non parametric ROC summary statistics to assess a ROC curve across the entire range of FPFs ...

2015

The following picture shows the test omission rate and predicted area as a function of the cumulative threshold, averaged over the replicate runs. The omission rate should be close to the predicted omission, because of the definition of the cumulative threshold. The next picture is the receiver operating characteristic (ROC) curve for the same data, again averaged over the replicate runs. Note ...

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