Res. Asst. Zuhal Fatma CELLAT

Publication Network

Articles 2

1. Derivation and validation of a simple prognostic risk score to predict short-term mortality in acute cardiogenic pulmonary edema: the SABIHA score

Toprak K., Kaplangöray M., Karataş M., Cellat Z. F., Arğa Y., Yılmaz R., et al.

Clinical and Experimental Emergency Medicine , vol.12, no.3, pp.223-234, 2025 (ESCI, Scopus) Sustainable Development

2. Stacking: An ensemble learning approach to predict student performance in PISA 2022

ÖZ E., Bulut O., CELLAT Z. F., YÜREKLİ H.

Education and Information Technologies , vol.30, no.6, pp.7753-7779, 2025 (SSCI, Scopus) Sustainable Development

Papers Presented at Peer-Reviewed Scientific Conferences 4

1. Determining Factors Affecting Employee Engagement Using Machine Learning Feature Selection Methods

Cellat Z. F., Öz E.

YTU Grad Colloquium'24, İstanbul, Turkey, 30 July 2024, pp.30, (Summary Text)

2. Gender-Based Analysis of Electrocardiographic Parameters:Utilizing Machine Learning Feature Selection Methods in ClassifyingCases of Heart Failure with Preserved Ejection Fraction

Cellat Z. F., Öz E.

International Sustainability In Life Congress, Aydın, Turkey, 19 - 22 May 2024, pp.76, (Summary Text) Sustainable Development

3. Classification Application with Machine Learning Algorithms for Employee Satisfaction Levels

Cellat Z. F., Öz E.

7th International Researchers, Statisticians, and Young Statisticians Congress, İstanbul, Turkey, 2 - 05 November 2023, pp.71, (Summary Text) Sustainable Development

4. Forecasting of Spatial Distribution of Earthquake by Using Bayesian Analysis for Istanbul

Karataş Z. F., Karaman F.

2. Uluslararası Dicle Bilimsel Araştırmalar ve İnovasyon Kongresi, Diyarbakır, Turkey, 28 - 29 May 2022, pp.98-105, (Full Text)

Metrics

Publication

Publication (WoS)

Publication (Scopus)

Citation (Scopus)

H-Index (Scopus)

Citation (Scholar)

H-Index (Scholar)

UN Sustainable Development Goals

Publications & Works

1. Derivation and validation of a simple prognostic risk score to predict short-term mortality in acute cardiogenic pulmonary edema: the SABIHA score

2. Stacking: An ensemble learning approach to predict student performance in PISA 2022

1. Determining Factors Affecting Employee Engagement Using Machine Learning Feature Selection Methods

2. Gender-Based Analysis of Electrocardiographic Parameters: Utilizing Machine Learning Feature Selection Methods in Classifying Cases of Heart Failure with Preserved Ejection Fraction

3. Classification Application with Machine Learning Algorithms for Employee Satisfaction Levels

4. Forecasting of Spatial Distribution of Earthquake by Using Bayesian Analysis for Istanbul

Publication

Publication (WoS)

Publication (Scopus)

Citation (Scopus)

H-Index (Scopus)

Citation (Scholar)

H-Index (Scholar)

2. Gender-Based Analysis of Electrocardiographic Parameters:Utilizing Machine Learning Feature Selection Methods in ClassifyingCases of Heart Failure with Preserved Ejection Fraction