Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Khaled Toffaha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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The Association Between Obesity and Health-Related Quality of Life: Recent Evidence from Australia
Kortt, M. A., Bernardelli, L. V., Wijeweera, A., Charles, M. B. & Toffaha, K., 2026, (Accepted/In press) In: Applied Research in Quality of Life.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting patient no-shows using machine learning: A comprehensive review and future research agenda
Toffaha, K., Simsekler, M. C. E., Omar, M. A. & ElKebbi, I., Jan 2025, In: Intelligence-Based Medicine. 11, 100229.Research output: Contribution to journal › Review article › peer-review
Open Access3 Scopus citations -
Predicting Hospital No-Shows: Interpretable Machine Learning Models Approach
Toffaha, K., Simsekler, M. C. E., Alshehhi, A. & Atif Omar, M., 2024, In: IEEE Access. 12, p. 166058-166067 10 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Review of Hospital Outpatient No-Show Explainable Prediction Using Machine Learning
Toffaha, K., Simsekler, M. C. E. & Omar, M., 2024, 2024 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Comparative Analysis of Machine Learning Algorithms for Hepatitis C Virus (HCV) Prediction
Toffaha, K. M., Simsekler, M. C. E. & Omar, M. A., 2023, 50th International Conference on Computers and Industrial Engineering, CIE 2023: Sustainable Digital Transformation. Dessouky, Y. & Shamayleh, A. (eds.). p. 1348-1358 11 p. (Proceedings of International Conference on Computers and Industrial Engineering, CIE; vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations
Thesis
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Using Machine Learning Approaches for Risk Prediction and Stratification in Healthcare
Toffaha, K. (Author), Simsekler, M. (Supervisor), 9 Dec 2024Student thesis: Doctoral Thesis
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