Search Results - "Sakr, Sherif"

On the interpretability of machine learning-based model for predicting hypertension by Elshawi, Radwa, Al-Mallah, Mouaz H, Sakr, Sherif

“…Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and…”
Get full text

Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region by Komisarenko, Viacheslav, Voormansik, Kaupo, Elshawi, Radwa, Sakr, Sherif

“…Governments pay agencies to control the activities of farmers who receive governmental support. Field visits are costly and highly time-consuming; hence remote…”
Get full text

Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services by Sakr, Sherif, Elgammal, Amal

“…With the increasing volumes of information gathered via patient monitoring systems, physicians have been put on increasing pressure for making sophisticated…”
Get full text

Interpretability in healthcare: A comparative study of local machine learning interpretability techniques by ElShawi, Radwa, Sherif, Youssef, Al‐Mallah, Mouaz, Sakr, Sherif

“…Although complex machine learning models (eg, random forest, neural networks) are commonly outperforming the traditional and simple interpretable models (eg,…”
Get full text

SDDM: an interpretable statistical concept drift detection method for data streams by Micevska, Simona, Awad, Ahmed, Sakr, Sherif

“…Machine learning models assume that data is drawn from a stationary distribution. However, in practice, challenges are imposed on models that need to make…”
Get full text

An interpretable semi-supervised framework for patch-based classification of breast cancer by Shawi, Radwa El, Kilanava, Khatia, Sakr, Sherif

“…Developing effective invasive Ductal Carcinoma (IDC) detection methods remains a challenging problem for breast cancer diagnosis. Recently, there has been…”
Get full text

A Survey of Large Scale Data Management Approaches in Cloud Environments by Sakr, S., Liu, A., Batista, D. M., Alomari, M.

“…In the last two decades, the continuous increase of computational power has produced an overwhelming flow of data. Moreover, the recent advances in Web…”
Get full text

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project by Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad, Qureshi, Waqas T, Brawner, Clinton, Keteyian, Steven, Blaha, Michael J, Al-Mallah, Mouaz H

“…This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension,…”
Get full text

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project by Alghamdi, Manal, Al-Mallah, Mouaz, Keteyian, Steven, Brawner, Clinton, Ehrman, Jonathan, Sakr, Sherif

“…Machine learning is becoming a popular and important approach in the field of medical research. In this study, we investigate the relative performance of…”
Get full text

Right coronary ostial atresia with Vieussens' arterial ring by Sobh, Donia M, Batouty, Nihal M, Sakr, Sherif A, Tawfik, Ahmed M

Get full text

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project by Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad M, Qureshi, Waqas T, Brawner, Clinton A, Keteyian, Steven J, Blaha, Michael J, Al-Mallah, Mouaz H

“…Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the…”
Get full text

FIT calculator: a multi-risk prediction framework for medical outcomes using cardiorespiratory fitness data by Elshawi, Radwa, Sakr, Sherif, Al-Mallah, Mouaz H., Keteyian, Steven J., Brawner, Clinton A., Ehrman, Jonathan K.

“…Accurately predicting patients' risk for specific medical outcomes is paramount for effective healthcare management and personalized medicine. While a…”
Get full text

Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques by El Shawi, Radwa, Sherif, Youssef, Al-Mallah, Mouaz, Sakr, Sherif

“…Although complex machine learning models (e.g., Random Forest, Neural Networks) are commonly outperforming the traditional simple interpretable models (e.g.,…”
Get full text

Building Pipelines for Heterogeneous Execution Environments for Big Data Processing by Dongyao Wu, Liming Zhu, Xiwei Xu, Sherif Sakr, Sun, Daniel, Qinghua Lu

“…Many real-world data analysis scenarios require pipelining and integration of multiple (big) data-processing and data-analytics jobs, which often execute in…”
Get full text

Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap by Sakr, Sherif, Maamar, Zakaria, Awad, Ahmed, Benatallah, Boualem, Van Der Aalst, Wil M. P.

“…Business processes represent a cornerstone to the operation of any enterprise. They are the operational means for such organizations to fulfill their goals…”
Get full text

Association Between Left Atrial Appendage Morphology Evaluated by Trans-Esophageal Echocardiography and Ischemic Cerebral Stroke in Patients With Atrial Fibrillation by Sakr, Sherif A., El-Rasheedy, Wagdia A., Ramadan, Mahmoud M., El-Menshawy, Ibrahim, Mahfouz, Essam, Bayoumi, Mohamed

“…The left atrial appendage (LAA) represents one of the major sources of cardiac thrombi responsible for embolic stroke in patients with atrial fibrillation…”
Get full text

Artificial intelligence for plaque characterization: A scientific exercise looking for a clinical application by Al-Mallah, Mouaz H., Sakr, Sherif

Get full text

Interictal Electrocardiographic and Echocardiographic Changes in Patients With Generalized Tonic-Clonic Seizures by Ramadan, Mahmoud M., El-Shahat, Nader, Omar, Ashraf A., Gomaa, Mohamed, Belal, Tamer, Sakr, Sherif A., Abu-Hegazy, Mohammad, Hakim, Hazem, Selim, Heba A., Omar, Sabry A.

“…Partial and generalized seizures often affect autonomic functions during seizures, and interictal and postictal periods. We investigated possible interictal…”
Get full text

Higher Fitness Is Strongly Protective in Patients with Family History of Heart Disease: The FIT Project by Al Rifai, Mahmoud, MD, MPH, Patel, Jaideep, MD, Hung, Rupert K., MD, Nasir, Khurram, MD, MPH, Keteyian, Steven J., PhD, Brawner, Clinton A., PhD, Ehrman, Jonathan K., PhD, Sakr, Sherif, PhD, Blumenthal, Roger S., MD, Blaha, Michael J., MD, MPH, Al-Mallah, Mouaz H., MD, MSc

“…Abstract Background Cardiorespiratory fitness protects against mortality; however, little is known about the benefits of improved fitness in individuals with a…”
Get full text

A Novel Technique for Multi-Track Percutaneous Balloon Mitral Valvoplasty by Sakr, Sherif A., Ramadan, Mahmoud M., Osama, Mohammed

“…Percutaneous balloon mitral valvoplasty (PBMV) has become the treatment of choice for severe pliable rheumatic mitral stenosis. The multi-track system is a…”
Get full text