On the interpretability of machine learning-based model for predicting hypertension

by Radwa Elshawi, Mouaz H. Al-Mallah, Sherif Sakr
Published 2019-07-01

How to Make Business Processes “Socialize”?

by Zakaria Maamar, Noura Faci, Ejub Kajan, Sherif Sakr, Mohamed Boukhebouze, Ahmed Barnawi
Published 2015-09-01

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project.

by Manal Alghamdi, Mouaz Al-Mallah, Steven Keteyian, Clinton Brawner, Jonathan Ehrman, Sherif Sakr
Published 2017-01-01

Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap

by Sherif Sakr, Zakaria Maamar, Ahmed Awad, Boualem Benatallah, Wil M. P. Van Der Aalst
Published 2018-01-01

Contribution of coagulation factor VII R353Q polymorphism to the risk of thrombotic disorders development (venous and arterial): A case-control study

by Hanan Azzam, Reham M. El-Farahaty, Nashwa K. Abousamra, Hossam Elwakeel, Sherif Sakr, Ayman Helmy, Eman Khashaba
Published 2017-07-01

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

by Sherif Sakr, Radwa Elshawi, Amjad Ahmed, Waqas T Qureshi, Clinton Brawner, Steven Keteyian, Michael J Blaha, Mouaz H Al-Mallah
Published 2018-01-01

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

by Sherif Sakr, Radwa Elshawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Steven J. Keteyian, Michael J. Blaha, Mouaz H. Al-Mallah
Published 2017-12-01

Prevalence of the frailty among Saudi patients referred for myocardial perfusion imaging: A cross sectional study

by Amjad M. Ahmed, Mousa Alfaris, Dalia Ahmed, Abdelrahman Jamiel, Amanda Holmes, Misfer Aldosari, Abdulbaset Sulaiman, Ahmed Aljizeeri, Ihab F. Sulaiman, Sherif Sakr, Mouaz H. Al-Mallah
Published 2017-10-01