Search Results - "Sariyer, Gorkem"
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Data analytics for quality management in Industry 4.0 from a MSME perspective
Published in Annals of operations research (06-08-2021)Get full text
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Machine Learning Implementations for Multi-class Cardiovascular Risk Prediction in Family Health Units
Published in International journal of mathematical, engineering and management sciences (01-12-2023)“…Cardiovascular disease (CVD) risk prediction plays a significant role in clinical research since it is the key to primary prevention. As family health units…”
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Predicting waiting and treatment times in emergency departments using ordinal logistic regression models
Published in The American journal of emergency medicine (01-08-2021)“…Since providing timely care is the primary concern of emergency departments (EDs), long waiting times increase patient dissatisfaction and adverse outcomes…”
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Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations
Published in Annals of operations research (01-09-2023)“…Grounded in dynamic capabilities, this study mainly aims to model emergency departments' (EDs) sustainable operations in the current situation caused by the…”
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Sizing capacity levels in emergency medical services dispatch centers: Using the newsvendor approach
Published in The American journal of emergency medicine (01-05-2018)“…The increased volume in demand worldwide in the present day has led to the need for the establishment of effective ambulance services. As call centers have…”
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Clustering of firms based on environmental, social, and governance ratings: Evidence from BIST sustainability index
Published in Borsa Istanbul Review (01-12-2022)“…In this paper, companies listed on the Borsa Istanbul (BIST) Sustainability Index are analyzed by performing a cluster analysis based on their environmental,…”
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The likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression
Published in Health information management (01-01-2022)“…Background: Emergency departments (EDs) play an important role in health systems since they are the front line for patients with emergency medical conditions…”
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How machine learning facilitates decision making in emergency departments: Modelling diagnostic test orders
Published in International journal of clinical practice (Esher) (01-12-2021)“…Since emergency departments (EDs) are responsible for providing initial care for patients who may need urgent medical care, they are highly sensitive to…”
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Analyzing Main and Interaction Effects of Length of Stay Determinants in Emergency Departments
Published in International journal of health policy and management (01-05-2020)“…Background: Measuring and understanding main determinants of length of stay (LOS) in emergency departments (EDs) is critical from an operations perspective,…”
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Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development
Published in Omega (Oxford) (01-09-2024)“…·Public transportation usage prediction is valuable for sustainable development.·Machine learning - XAI integrated model is developed for estimating daily…”
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A hybrid Bayesian approach for assessment of industry 4.0 technologies towards achieving decarbonization in manufacturing industry
Published in Computers & industrial engineering (01-04-2024)“…•Examines the low-carbon alternatives for the iron & steel industry towards carbon neutrality.•Identifies critical measures and attributes for achieving carbon…”
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Data-driven decision making for modelling covid-19 and its implications: A cross-country study
Published in Technological forecasting & social change (01-12-2023)“…Grounded in big data analytics capabilities, this study aims to model the COVID-19 spread globally by considering various factors such as demographic,…”
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Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies
Published in Journal of business research (01-08-2024)“…Given the growing importance of organizations’ environmental, social, and governance (ESG) performance, studies employing AI-based techniques to generate…”
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Predicting cost of defects for segmented products and customers using ensemble learning
Published in Computers & industrial engineering (01-09-2022)“…•Big data analytics (BDA) led companies to evolve capabilities for high performance.•Clustering Based Classifier Ensemble Method (CBCEM) is proposed.•CBCEM…”
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Child Abuse and Neglect Among Children Who Drop Out of School: A Study in Izmir, Turkey
Published in Social work in public health (01-10-2016)“…Child abuse and neglect (CAN), and dropping out of school have long been recognized as pervasive social problems globally, and Turkey is no exception. This…”
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Does ambulance utilization differ between urban and rural regions: a study of 112 services in a populated city, Izmir
Published in Journal of public health (01-08-2017)“…Objective Emergency Medical Services (EMS) play an important role in health care systems, especially when well planned and well managed. The goal of this…”
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Factors Relating to Decision Delay in the Emergency Department: Effects of Diagnostic Tests and Consultations
Published in Open access emergency medicine (01-01-2023)“…The purpose of this study is to investigate the factors increasing waiting time (WT) and length of stay (LOS) in patients, which may cause delays in…”
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Highlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: Use of association rule mining
Published in Health informatics journal (01-06-2020)“…Diagnostic tests are widely used in emergency departments to make detailed investigations on diagnosis and treat patients correctly. However, since these tests…”
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An analysis of Emergency Medical Services demand: Time of day, day of the week, and location in the city
Published in Turkish journal of emergency medicine (01-06-2017)“…Effective planning of Emergency Medical Services (EMS), which is highly dependent on the analysis of past data trends, is important in reducing response time…”
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Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea
Published in Health policy and planning (01-01-2022)“…Abstract We used big data analytics for exploring the relationship between government response policies, human mobility trends and numbers of coronavirus…”
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