Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A prediction model for detrusor overactivity at ambulatory urodynamics in women with urinary incontinence
Date
2020-08-01
Author
Seval, Mehmet Murat
Çetinkaya, Şerife Esra
Kalafat, Erkan
Dökmeci, Fulya
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
120
views
0
downloads
Cite This
Objective(s): To develop a multivariable model using both clinical examination findings and validated questionnaires' scores for predicting the presence of detrusor overactivity observed during ambulatory urodynamic monitoring in women with urinary incontinence.
Subject Keywords
Urinary incontinence
,
Detrusor overactivity
,
Ambulatory urodynamic monitoring
,
Nomogram
,
CONTINENCE SOCIETY
,
QUESTIONNAIRE
,
VALIDATION
,
SYMPTOMS
,
SCORE
URI
https://hdl.handle.net/11511/94705
Journal
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
DOI
https://doi.org/10.1016/j.ejogrb.2020.05.035
Collections
Department of Statistics, Article
Suggestions
OpenMETU
Core
A novel deep learning approach for classification of EEG motor imagery signals
TABAR, Yousef Rezaei; Halıcı, Uğur (IOP Publishing, 2017-02-01)
Objective. Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types of data. However, the number of studies that employ these approaches on BCI applications is very limited. In this study we aim to use deep learning methods to improve classification performance of EEG motor imagery signals. Approach. In this study we investigate convolutional neural network...
A model based on multi-features to enhance healthcare and medical document retrieval
Al Zamıl, Mohammed G. H.; Betin Can, Aysu (2011-03-01)
Objective. A major problem in biomedical informatics is the contextual retrieval and ranking of medical and healthcare information. In this article, we present a model for extracting semantic relations among medical and clinical documents. The purpose is to maximise contextual retrieval and ranking performance with minimum input from users.
An Analysis of role theory: change and continuity in China’s role conceptions
Kılıç, Çağla; Ergenç, Ceren; Department of International Relations (2017)
Objective. This thesis illuminates a changing pattern of identity and discourse in Chinese Foreign Policy in the last three decades by employing role theory and its very core concept which is assumed to be the ultimate source of motivation: National Role Conceptions. As an inductive typology, National Role Conceptions are defined as policymaker’s own definitions of general kinds of decisions, commitments or rules suitable to their state. Method. Latent content analysis was conducted to four Chinese leaders,...
Use of the dynamic volume spline method to predict facial soft tissue changes associated with orthognathic surgery
Ulusoy, İlkay; Sabuncuoglu, Fidan; GÖRGÜLÜ, SERKAN; ÜÇOK, CEMİLE ÖZLEM (Elsevier BV, 2010-11-01)
Objective. The shape of the face can be estimated before the surgery by using 3-dimensional computer programs that provide tools to guide skill modifications. The aim of this study was to present the dynamic volume spline method to predict facial soft tissue changes after the modification of the skull associated with orthognathic surgery.
Investigation of the tribological behaviour of electrocodeposited Ni-MoS2 composite coatings
Güler, Ebru Saraloglu; Konca, Erkan; Karakaya, İshak (2017-01-01)
Objective. To discuss a patient with a prenatal diagnosis of unilateral isolated femoral focal deficiency. Case. Antenatal diagnosis of unilateral isolated femoral focal deficiency was made at 20 weeks of gestation. The length of left femur was shorter than the right, and fetal femur length was below the fifth percentile. Proximal femoral focal deficiency was diagnosed. After delivery, the diagnosis was confirmed with skeletal radiographs and magnetic resonance imaging. In prenatal ultrasonographic examinat...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. M. Seval, Ş. E. Çetinkaya, E. Kalafat, and F. Dökmeci, “A prediction model for detrusor overactivity at ambulatory urodynamics in women with urinary incontinence,”
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
, vol. 251, pp. 156–161, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/94705.