Shaker H. Ali El-Sappagh

According to our database1, Shaker H. Ali El-Sappagh authored at least 55 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data.
Inf. Fusion, April, 2023

Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data.
IEEE J. Biomed. Health Informatics, 2022

Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques.
Sensors, 2022

An Efficient 5G Data Plan Approach Based on Partially Distributed Mobility Architecture.
Sensors, 2022

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.
Sensors, 2022

Two-stage deep learning model for Alzheimer's disease detection and prediction of the mild cognitive impairment time.
Neural Comput. Appl., 2022

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning.
Neural Comput. Appl., 2022

Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.
J. Biomed. Informatics, 2022

Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers.
Neurocomputing, 2022

Robust deep learning early alarm prediction model based on the behavioural smell for android malware.
Comput. Secur., 2022

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.
Comput. Biol. Medicine, 2022

Semantic Architecture for Interoperability in Distributed Healthcare Systems.
IEEE Access, 2022

Kinship verification and recognition based on handcrafted and deep learning feature-based techniques.
PeerJ Comput. Sci., 2021

Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles.
PeerJ Comput. Sci., 2021

Robust hybrid deep learning models for Alzheimer's progression detection.
Knowl. Based Syst., 2021

Alzheimer's disease progression detection model based on an early fusion of cost-effective multimodal data.
Future Gener. Comput. Syst., 2021

An intelligent healthcare monitoring framework using wearable sensors and social networking data.
Future Gener. Comput. Syst., 2021

A Multi-Perspective malware detection approach through behavioral fusion of API call sequence.
Comput. Secur., 2021

The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning.
Comput. Intell. Neurosci., 2021

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis.
IEEE Access, 2021

Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions.
IEEE Access, 2021

Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-Enabled Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2020

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion.
Inf. Fusion, 2020

A Proposed Frequent Itemset Discovery Algorithm Based on Item Weights and Uncertainty.
Int. J. Sociotechnology Knowl. Dev., 2020

Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data.
Neurocomputing, 2020

A framework for disease diagnosis based on fuzzy semantic ontology approach.
Int. J. Medical Eng. Informatics, 2020

A semantic interoperability framework for distributed electronic health record based on fuzzy ontology.
Int. J. Medical Eng. Informatics, 2020

Road network simplification for location-based services.
GeoInformatica, 2020

Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends.
CoRR, 2020

A Three-Step Authentication Model for Mobile Phone User Using Keystroke Dynamics.
IEEE Access, 2020

Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges.
IEEE Access, 2020

Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives.
IEEE Access, 2020

Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model.
IEEE Access, 2020

Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks.
Proceedings of the Intelligent Systems and Applications, 2020

Benchmarking large-scale data management for Internet of Things.
J. Supercomput., 2019

A case-base fuzzification process: diabetes diagnosis case study.
Soft Comput., 2019

Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel.
Sensors, 2019

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.
BMC Medical Informatics Decis. Mak., 2019

Transportation sentiment analysis using word embedding and ontology-based topic modeling.
Knowl. Based Syst., 2019

Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges.
IEEE Access, 2019

SNOMED CT standard ontology based on the ontology for general medical science.
BMC Medical Informatics Decis. Mak., 2018

DMTO: a realistic ontology for standard diabetes mellitus treatment.
J. Biomed. Semant., 2018

Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques.
IEEE Access, 2018

An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis.
IEEE Access, 2018

Feature-based Transportation Sentiment Analysis Using Fuzzy Ontology and SentiWordNet.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

Merged Ontology and SVM-Based Information Extraction and Recommendation System for Social Robots.
IEEE Access, 2017

An encoding methodology for medical knowledge using SNOMED CT ontology.
J. King Saud Univ. Comput. Inf. Sci., 2016

Medical Case Based Reasoning Frameworks: Current Developments and Future Directions.
Int. J. Decis. Support Syst. Technol., 2016

A CBR system for diabetes mellitus diagnosis: case-base standard data model.
Int. J. Medical Eng. Informatics, 2015

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.
Artif. Intell. Medicine, 2015

An Ontological Case Base Engineering Methodology for Diabetes Management.
J. Medical Syst., 2014

A distributed clinical decision support system architecture.
J. King Saud Univ. Comput. Inf. Sci., 2014

EHR Data Preparation for Case Based Reasoning Construction.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014

EMD: entity mapping diagram for automated extraction, transformation, and loading processes in data warehousing.
Int. J. Intell. Inf. Database Syst., 2012

A proposed model for data warehouse ETL processes.
J. King Saud Univ. Comput. Inf. Sci., 2011