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Article
Publication date: 6 June 2024

Özge H. Namlı, Seda Yanık, Aslan Erdoğan and Anke Schmeink

Coronary artery disease is one of the most common cardiovascular disorders in the world, and it can be deadly. Traditional diagnostic approaches are based on angiography, which is…

85

Abstract

Purpose

Coronary artery disease is one of the most common cardiovascular disorders in the world, and it can be deadly. Traditional diagnostic approaches are based on angiography, which is an interventional procedure having side effects such as contrast nephropathy or radio exposure as well as significant expenses. The purpose of this paper is to propose a novel artificial intelligence (AI) approach for the diagnosis of coronary artery disease as an effective alternative to traditional diagnostic methods.

Design/methodology/approach

In this study, a novel ensemble AI approach based on optimization and classification is proposed. The proposed ensemble structure consists of three stages: feature selection, classification and combining. In the first stage, important features for each classification method are identified using the binary particle swarm optimization algorithm (BPSO). In the second stage, individual classification methods are used. In the final stage, the prediction results obtained from the individual methods are combined in an optimized way using the particle swarm optimization (PSO) algorithm to achieve better predictions.

Findings

The proposed method has been tested using an up-to-date real dataset collected at Basaksehir Çam and Sakura City Hospital. The data of disease prediction are unbalanced. Hence, the proposed ensemble approach improves majorly the F-measure and ROC area which are more prominent measures in case of unbalanced classification. The comparison shows that the proposed approach improves the F-measure and ROC area results of the individual classification methods around 14.5% in average and diagnoses with an accuracy rate of 96%.

Originality/value

This study presents a low-cost and low-risk AI-based approach for diagnosing heart disease compared to traditional diagnostic methods. Most of the existing research studies focus on base classification methods. In this study, we mainly investigate an effective ensemble method that uses optimization approaches for feature selection and combining stages for the medical diagnostic domain. Furthermore, the approaches in the literature are commonly tested on open-access dataset in heart disease diagnoses, whereas we apply our approach on a real and up-to-date dataset.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 17 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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Expert briefing
Publication date: 16 August 2019

Erdogan’s weakened position.

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Expert briefing
Publication date: 16 October 2019

Since the breakdown of the peace process with the Kurdistan Workers Party (PKK) in July 2016, Erdogan’s policy of all-out violence has to outward appearances smashed the Kurds’…

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Article
Publication date: 24 June 2019

Muhammet Fatih Aslan, Akif Durdu, Kadir Sabancı and Kemal Erdogan

In this study, human activity with finite and specific ranking is modeled with finite state machine, and an application for human–robot interaction was realized. A robot arm was…

278

Abstract

Purpose

In this study, human activity with finite and specific ranking is modeled with finite state machine, and an application for human–robot interaction was realized. A robot arm was designed that makes specific movements. The purpose of this paper is to create a language associated to a complex task, which was then used to teach individuals by the robot that knows the language.

Design/methodology/approach

Although the complex task is known by the robot, it is not known by the human. When the application is started, the robot continuously checks the specific task performed by the human. To carry out the control, the human hand is tracked. For this, the image processing techniques and the particle filter (PF) based on the Bayesian tracking method are used. To determine the complex task performed by the human, the task is divided into a series of sub-tasks. To identify the sequence of the sub-tasks, a push-down automata that uses a context-free grammar language structure is developed. Depending on the correctness of the sequence of the sub-tasks performed by humans, the robot produces different outputs.

Findings

This application was carried out for 15 individuals. In total, 11 out of the 15 individuals completed the complex task correctly by following the different outputs.

Originality/value

This type of study is suitable for applications to improve human intelligence and to enable people to learn quickly. Also, the risky tasks of a person working in a production or assembly line can be controlled with such applications by the robots.

Details

Industrial Robot: the international journal of robotics research and application, vol. 46 no. 4
Type: Research Article
ISSN: 0143-991X

Keywords

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Expert briefing
Publication date: 19 December 2024

Ankara seemingly played a role in Hayat Tahrir al-Sham (HTS)’s drive on Damascus, while the Turkish-backed Syrian National Army (SNA) has become one of the most powerful forces in…

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Book part
Publication date: 9 August 2023

Melissa Hauber-Özer

Despite high aspirations to pursue personal development, self-sustaining employment, socio-economic integration, and stable futures in their host, origin, or resettlement…

Abstract

Despite high aspirations to pursue personal development, self-sustaining employment, socio-economic integration, and stable futures in their host, origin, or resettlement countries through higher education, intersecting legal, economic, linguistic, and sociocultural barriers severely constrain refugees’ options. There is limited research on how refugee students overcome these barriers to access higher education, particularly in displacement settings like Turkey, which perpetuates a deficit view of these learners. This chapter seeks to address this gap and challenge deficit ideologies through an asset-focused perspective on the stories of 10 Syrian young adults accessing higher education during forced displacement in Turkey using a composite narrative portrait crafted based on common experiences running across the participants’ individual narratives. The narrative illustrates the importance of equitable policies, quality language instruction, inclusive pedagogies, and supportive interpersonal relationships for young people aspiring to invest in their futures during displacement as well as the resourceful and dynamic strategies they devise.

Details

Education for Refugees and Forced (Im)Migrants Across Time and Context
Type: Book
ISBN: 978-1-83753-421-0

Keywords

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Expert briefing
Publication date: 23 February 2023

In 2019, the US Department of Justice (DoJ) charged Halkbank with having operated a scheme to evade US sanctions in 2012-13 by using the receipts of Iranian oil sales to buy gold…

Details

DOI: 10.1108/OXAN-DB276251

ISSN: 2633-304X

Keywords

Geographic
Topical
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Book part
Publication date: 13 April 2023

Samet Hacilar, Ayhan Kapusuzoglu and Nildag Basak Ceylan

The main purpose of this study is to measure financial literacy of individual pension system customers in Ankara and to find out factors affecting financial literacy while…

Abstract

The main purpose of this study is to measure financial literacy of individual pension system customers in Ankara and to find out factors affecting financial literacy while acquiring additional information on financial decisions of individual pension system customers. The results show that the self-financial knowledge evaluation of individual pension system customers and their financial literacy are not compatible. Besides, the financial literacy levels of the customers who make their investment themselves and customers who leave investment decision to the individual pension system company are found not to be statistically significant although self-investors believe they have higher financial knowledge. In addition to this, the effects of financial literacy level in terms of renewable energy investments are also evaluated. Individuals with an increasing level of financial literacy may turn to renewable energy sources and investments because of their low-cost and high-return potential.

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Article
Publication date: 29 November 2018

Fatih Eren

The purpose of this paper is to explore top government hands-on megaproject management model applied to Istanbul’s new airport megaproject. The study aims to find an answer to…

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Abstract

Purpose

The purpose of this paper is to explore top government hands-on megaproject management model applied to Istanbul’s new airport megaproject. The study aims to find an answer to this research question: “How is the organizational design and management of a megaproject that has been alive in a confrontational socio-political environment and whose national strategic importance is high?”

Design/methodology/approach

Organizational theory and critical theory perspectives are used in this study. Istanbul’s grand airport is chosen as the case study. Interview, focus group and document analysis methods are used together. The research yields data from qualitative resources. Verbal and written materials are organized into three major themes and 27 key subjects for content analysis.

Findings

A top level of organizational management can be attained in the state in order for the mega projects with high national strategic importance to survive without problems and with high performance. The top government-level organizational structure implemented at Istanbul’s new airport has reduced complexity, risk and uncertainty; increased performance and product quality; and strenghtened inter-organizational compatibility and communication within the megaproject organization. However, this structuring also increased centralization, reduced transparency and direct public participation in the decision-making process.

Research limitations/implications

The megaproject is run in strict confidence and limited information is shared gradually in a controlled way with public by the megaproject organization. Therefore, a qualitative methodology is followed and the usage of quantitative data remained limited in the research.

Practical implications

The study presents an exemplary top government-level megaproject management model for countries experiencing strong socio-political conflicts and aiming to perform megaprojects with high national strategic importance.

Social implications

The organization of Istanbul’s new airport megaproject offers an exemplary, flexible and innovative organizational management model for countries that want to realize mega projects with high national strategic importance and experience strong socio-political conflicts. The questions of how to cope with challenges, how to build management capabilities and how to improve the cooperation and coordination within megaprojects have found some answers with this study. In addition, this study provides an insight into how to make more effective objections to wrong megaproject practices and the right strategies that the opposing organizations can follow.

Originality/value

This empirical research widens and deepens the theoretical foundations of top government hands-on megaproject management. The study, which includes a process analysis, allows to better understand the philosophy, nature, success, planning process, social organization and dynamics of megaprojects and to explain them through the values and strategies of organizations.

Details

International Journal of Managing Projects in Business, vol. 12 no. 3
Type: Research Article
ISSN: 1753-8378

Keywords

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Expert briefing
Publication date: 10 December 2019

The state-owned bank has been indicted in New York for its role in helping Tehran evade US sanctions. Ankara alleges that the charges are politically motivated and has looked to…

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