Nariman Ammar

According to our database, Nariman Ammar authored at least 27 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy.

Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning.

Khalid Alghatani, Abdelmounaam Rezgui, Nariman Ammar

Proceedings of the IEEE Symposium on Computers and Communications, 2023

A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine.

Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad

Proceedings of the Telehealth Ecosystems in Practice, 2023

2022

An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.

Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad

CoRR, 2022

Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients.

Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad

IEEE Access, 2022

2021

A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers.

Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad

Frontiers Digit. Health, 2021

Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence.

Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad

CoRR, 2021

An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study.

Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad

CoRR, 2021

Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation.

Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad

CoRR, 2021

Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data.

Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad

CoRR, 2021

HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia.

Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad

Proceedings of the Public Health and Informatics, 2021

Sentiment Analysis of the Covid-19 Vaccines on Social Media.

Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research.

Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs).

Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development.

Nariman Ammar, Arash Shaban-Nejad

CoRR, 2020

The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information.

Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic.

Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Esra Ozdenerol, Fridtjof Thomas, Altha J. Stewart, Karen C. Johnson, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad

Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020

2017

YAFA-SOA: A GA-Based Optimizer for Optimizing Security and Cost in Service Compositions.

Wafaa Radwan, Yousef Hassouneh, Abdel Salam Sayyad, Nariman Ammar

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2015

XACML Policy Evaluation with Dynamic Context Handling.

Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui

IEEE Trans. Knowl. Data Eng., 2015

K-Anonymity Based Approach for Privacy-Preserving Web Service Selection.

Nariman Ammar, Zaki Malik, Brahim Medjahed, Mohammed Alodib

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014

MobiDyC: Private Mobile-based Health Data Sharing through Dynamic Context Handling.

Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Mohammed Alodib

Proceedings of the 9th International Conference on Future Networks and Communications (FNC'14) / The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC'14) / Affiliated Workshops, 2014

Dynamic Privacy Policy Management in Services-Based Interactions.

Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui

Proceedings of the Database and Expert Systems Applications, 2014

Sentiment Analysis for intelligent ratings management.

Khayyam Hashmi, Erfan Najmi, Nariman Ammar, Zaki Malik, Brahim Medjahed

Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2013

Metrics to identify where object-oriented program comprehension benefits from the runtime structure.

Marwan Abi-Antoun, Radu Vanciu, Nariman Ammar

Proceedings of the 4th International Workshop on Emerging Trends in Software Metrics, 2013

2012

Empirical Evaluation of Diagrams of the Run-time Structure for Coding Tasks.

Nariman Ammar, Marwan Abi-Antoun

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

Extraction of ownership object graphs from object-oriented code: an experience report.

Marwan Abi-Antoun, Nariman Ammar, Zeyad Hailat

Proceedings of the 8th international ACM SIGSOFT conference on Quality of Software Architectures, 2012

2010

Questions about object structure during coding activities.

Marwan Abi-Antoun, Nariman Ammar, Thomas D. LaToza

Proceedings of the 2010 ICSE Workshop on Cooperative and Human Aspects of Software Engineering, 2010