Browsing by Author "Cagiltay, Nergiz"

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Analysis of Neurooncological Data To Predict Success of Operation Through Classification
(Assoc Computing Machinery, 2016) Tokdemir, Gul; Cagiltay, Nergiz; Maras, H. Hakan; Bagherzadi, Negin; Borcek, Alp Ozgun; 17411; 06.09. Yazılım Mühendisliği; 06.01. Bilgisayar Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be utilized to predict outcomes of certain treatment procedures. Accordingly, this study aims to create a model to provide decision support for surgeons in Neurooncology surgery. For this purpose, we have analyzed clinical pathology records of Neurooncology patients through various classification algorithms, namely Support Vector Machine, Multi Perceptron and Naive Bayes methods, and compared their performances with the aim of predicting surgery complication. A large number of factors have been considered to classify and predict percentage of patient's complication in surgery. Some of the factors found to be predictive were age, sex, clinical presentation, previous surgery type etc. For classification models built up using Support Vector Machine, Naive Bayes and Multi Perceptron, Classification trials for Support Vector Machine have shown %77.47 generalization accuracy, which was established by 5-fold cross-validation.
Citation - Scopus: 1
Empathy Development in Digital Accessibility Through Real-Life Practices in a Programming Course: a Case Study
(Assoc Computing Machinery, 2024) Inal, Yavuz; Cagiltay, Nergiz; 06.09. Yazılım Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
This case study adopted a project-based learning approach to a programming course based on real-life practices to help software engineering students develop empathy skills regarding digital accessibility. A project was assigned to first-year students to develop software for people with disabilities. The data were collected from each individual project of thirty-three students over four months. Students' efforts regarding analysis, design and development steps, and project outcomes were analyzed. The study results showed that students' experience level and knowledge about the accessibility domain were quite low initially. Regarding the target disability type in their projects, half of the students selected mental illness, followed by blindness, deafness, and physical illness. The students who gathered requirements from domain experts or target users made their products more accessible, indicating the importance of user involvement in empathy building in the development process. We also measured increased awareness of and knowledge about accessibility at the end of the course, leading us to discuss the effectiveness of real-life practices in teaching digital accessibility in programming courses.
Citation - WoS: 1
Neuronavigation Systems and Passive Usage Problem
(Ieee, 2015) Tonbul, Gokcen; Aydin, Elif; Cagiltay, Nergiz; Topalli, Damla; Borcek, Alp Ozgun; Tokdemir, Gul; Maras, Hakan; 17411; 06.03. Elektrik-Elektronik Mühendisliği; 06.09. Yazılım Mühendisliği; 06.01. Bilgisayar Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
Nowadays, neuronavigation systems are used in brain surgery procedures, known as a technology to help the surgeon during the operational period. However, the surgeons have faced several problems with the existing systems. Some of these problems are related to the systems software and user interfaces. In this study, such problems are examined and the "Passive Usage" term is added to the literature by establishing a connection between the problems of endoscopic surgical procedures and similar issues occurred in other domains. The passive usage problem is generalized on different domains for the first time with this study. The results of the study expected to gather up the similar passive usage problems experienced in different domains. Accordingly, the methodologies and studies that are conducted in different research areas may lead to eliminate the Passive Usage problems efficiently.
The Usability Study for the Personal Health Record Systems
(Ieee, 2015) Cagiltay, Nergiz; Aykac, Y. Evren; Gokay, Gonca; Ercil, Yavuz; Tokdemir, Gul; 17411; 06.09. Yazılım Mühendisliği; 06.01. Bilgisayar Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
With the emergence of new technologies, there is an increasing number of studies to improve healthcare delivery quality and health services. The studies have shown that the focus should be on integrated, sharable and personalized healthcare solutions which requires usage of patient data as much as possible for fast and correct diagnosis and care. Hence, data related to people when they are healthy and when they are sick become very critical for which many projects have been initiated to increase awareness of people about the importance of data collection all over the world and in our country as well. This requires more active role of the citizens in tracking their healthcare data. In this study, Microsoft Health Vault system that is used for storage of personal health records, has been analyzed in terms of its usability characteristics and the results have been discussed.