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Kalafat, Erkan (47)
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Recent Submissions

cmaRs: A powerful predictive data mining package in R
Yerlikaya-Özkurt, Fatma; Yazıcı, Ceyda; Batmaz, İnci (2023-12-01)
Conic Multivariate Adaptive Regression Splines (CMARS) is a very successful method for modeling nonlinear structures in high-dimensional data. It is based on MARS algorithm and utilizes Tikhonov regularization and Conic Qu...
Forecasting Performance of Machine Learning, Time Series and Hybrid Methods for Low and High Frequency Time Series
Özdemir, Ozancan; Yozgatlıgil, Ceylan (2023-11-01)
A new collective anomaly detection approach using pitch frequency and dissimilarity: Pitchy anomaly detection (PAD)
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2023-09-01)
Anomaly detection in time series is an important process that can aid in both preprocessing and postprocessing, particularly in biomedical data modalities where anomalies often signify the presence of disorders that requir...
Impact of point-of-care ultrasound and routine third trimester ultrasound on undiagnosed breech presentation and perinatal outcomes: An observational multicentre cohort study
Knights, Samantha; Prasad, Smriti; Kalafat, Erkan; Dadali, Anahita; Sizer, Pam; Harlow, Francoise; Khalil, Asma (2023-04-01)
BACKGROUND: Accurate knowledge of fetal presentation at term is vital for optimal antenatal and intrapartum care. The primary objective was to compare the impact of routine third trimester ultrasound or point-of-care ultra...
The need for data policy in times of crisis: An IDPC CODATA report following a scientific workshop held on 22 October 2022 in Leiden, The Netherlands
Başbuğ Erkan, Berna Burçak; Crawley, Francis; Murray, Virginia (2023-04-01)
Türkiye: Rubble of corruption fuels earthquake devastation
Başbuğ Erkan, Berna Burçak (2023-02-01)
Earthquake in Turkey exposes gap between seismic knowledge and action – but it is possible to prepare
Comfort, Louise; Başbuğ Erkan, Berna Burçak; GÜLKAN, HAKKI POLAT (2023-02-01)
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula
Oflaz, Zarina; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (2023-1-01)
A range of chronic diseases have a significant influence on each other and share common risk factors. Comorbidity, which shows the existence of two or more diseases interacting or triggering each other, is an important mea...
Hybrid statistical and machine learning modeling of cognitive neuroscience data
Çakar, Serenay; Gökalp Yavuz, Fulya (2023-01-01)
The nested data structure is prevalent for cognitive measure experiments due to repeatedly taken observations from different brain locations within subjects. The analysis methods used for this data type should consider the...
Systematic review and meta-analysis of the effectiveness and perinatal outcomes of COVID-19 vaccination in pregnancy
Prasad, Smriti; Kalafat, Erkan; Blakeway, Helena; Townsend, Rosemary; O’Brien, Pat; Morris, Edward; Draycott, Tim; Thangaratinam, Shakila; Le Doare, Kirsty; Ladhani, Shamez; von Dadelszen, Peter; Magee, Laura A.; Heath, Paul; Khalil, Asma (2022-12-01)
Safety and effectiveness of COVID-19 vaccines during pregnancy is a particular concern affecting vaccination uptake by this vulnerable group. Here we evaluated evidence from 23 studies including 117,552 COVID-19 vaccinated...
GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms
DAĞ, OSMAN; KAŞIKCI ÇAVDAR, MERVE; İlk Dağ, Özlem; Yesiltepe, Metin (2022-11-01)
Selection of differentially expressed genes (DEGs) is a vital process to discover the causes of diseases. It has been shown that modelling of genomics data by considering relation among genes increases the predictive perfo...
Extension of Leap Condition in Approximate Stochastic Simulation Algorithms of Biological Networks
Demirbüken, Saliha; Purutçuoğlu Gazi, Vilda (2022-11-01)
Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm
GÜNEY, YEŞİM; ARSLAN, OLÇAY; Gökalp Yavuz, Fulya (2022-09-01)
© 2022 Elsevier Inc.In the analysis of repeated or clustered measurements, it is crucial to determine the dynamics that affect the mean, variance, and correlations of the data, which will be possible using appropriate mode...
Variable selection in linear-circular regression models
Çamlı, Onur; Kalaylıoğlu Akyıldız, Zeynep Işıl; SenGupta, Ashis (2022-08-01)
Applications of circular regression models are ubiquitous in many disciplines, particularly in meteorology, biology and geology. In circular regression models, variable selection problem continues to be a remarkable open q...
Quality or quantity? Pitfalls of assessing the effect of endometrial thickness on live birth rates
Ata, Baris; Kalafat, Erkan (2022-08-01)
Maternal and perinatal outcomes of SARS-CoV-2 infection in unvaccinated pregnancies during Delta and Omicron waves
Birol Ilter, P.; Prasad, S.; Mutlu, M.A.; Tekin, A.B.; O'Brien, P.; von Dadelszen, P.; Magee, L.A.; Tekin, S.; Tug, N.; Kalafat, Erkan; Khalil, A. (2022-07-01)
© 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.Objective: There is little evidence related to the ...
The Conference Report of Why R? Turkey 2022: The First R Conference with Call For Papers in Turkey
Cavus, Mustafa; Aydin, Olgun; Evkaya, Ozan; TURFAN, DERYA; Karadag, Filiz; Özdemir, Ozancan; Dar, Ugur; Bezer, Deniz (2022-06-01)
Why R? Turkey 2022 was a non-profit conference that aimed to bring Turkish R users together and encourage them to attend the R conferences. The targeted audience of the conference consisted of, data scientists, data analys...
Estimation of disease progression for ischemic heart disease using latent Markov with covariates
Oflaz, Zarina; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (2022-06-01)
Contemporaneous monitoring of disease progression, in addition to early diagnosis, is important for the treatment of patients with chronic conditions. Chronic disease-related factors are not easily tractable, and the exist...
An analysis to identify the structural breaks of Covid-19 in Turkey
Oral Gonadotropin-Releasing Hormone Antagonists in the Treatment of Uterine Myomas: A Systematic Review and Network Meta-analysis of Efficacy Parameters and Adverse Effects
Telek, Savci Bekir; Gurbuz, Zeynep; Kalafat, Erkan; Ata, Baris (2022-05-01)
© 2022Objective: The aim of this systematic review is to gather and synthesize evidence regarding the use of oral gonadotrophin-releasing hormone (GnRH) antagonist for the treatment of bleeding associated with uterine myom...
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