Arash Shaban-Nejad

101 papers B 7C 1Misc 5Journal 49Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach. CoRR Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa, Shelley White-Means, David L. Schwartz, Arash Shaban-Nejad
2025	J	`jnl`	Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study. CoRR Soheil Hashtarkhani, Rezaur Rashid, Christopher L. Brett, Lokesh K. Chinthala, Fekede Asefa Kumsa, Janet A Zink, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad
2025	J	`jnl`	Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States. CoRR Soheil Hashtarkhani, Brianna M. White, Benyamin Hoseini, David L. Schwartz, Arash Shaban-Nejad
2025	J	`jnl`	Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. CoRR Brianna M. White, Rameshwari Prasad, Nariman Ammar, Jason Yaun, Arash Shaban-Nejad
2024	B	`conf`	AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. IEEE Big Data Rezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa, Lokesh K. Chinthala, Brianna M. White, Janet A Zink, Christopher L. Brett, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad
2024	B	`conf`	An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data. IEEE Big Data Soheil Hashtarkhani, Shelley White-Means, Sam Li, Rezaur Rashid, Fekede Asefa Kumsa, Cindy Lemon, Lluvia Chipman, Jill Dapremont, Brianna White, Arash Shaban-Nejad
2024	J	`jnl`	Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. CoRR Soheil Hashtarkhani, David L. Schwartz, Arash Shaban-Nejad
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. IEEE Access Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	J	`jnl`	Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. CoRR Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya
2024	—	`conf`	Harnessing the Implementation Potential of Digital Vaccination Certificates (DVCs) on Global Scale. EUSPN/ICTH Brianna M. White, Rameshwari Prasad, Olufunto A. Olusanya, Nupur Singh, Arash Shaban-Nejad
2023	—	`conf`	A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. EFMI-STC Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad
2023	—	`conf`	Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics. EFMI-STC Brianna White, Fekede Asefa Kumsa, Nupur Singh, Chad A. Melton, Arash Shaban-Nejad
2023	J	`jnl`	Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. CoRR Brianna M. White, Chad A. Melton, Parya Zareie, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
2023	J	`jnl`	Medication abortion via digital health in the United States: a systematic scoping review. CoRR Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad
2023	J	`jnl`	Medication abortion via digital health in the United States: a systematic scoping review. npj Digit. Medicine Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad
2023	—	`conf`	Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. MedInfo Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz
2022	J	`jnl`	An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. CoRR Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
2022	J	`jnl`	Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. CoRR Whitney S. Brakefield, Olufunto A. Olusanya, Arash Shaban-Nejad
2022	J	`jnl`	Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries. CoRR Olufunto A. Olusanya, Brianna White, Chad A. Melton, Arash Shaban-Nejad
2022	J	`jnl`	Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study. CoRR Chad A. Melton, Brianna M. White, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
2022	J	`jnl`	Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
2022	—	`conf`	Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities. ICIMTH Brianna M. White, Arash Shaban-Nejad
2021	J	`jnl`	A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. CoRR Oguz Akbilgic, Eun Kyong Shin, Arash Shaban-Nejad
2021	J	`jnl`	A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers Digit. Health Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
2021	J	`jnl`	An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study. CoRR Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad
2021	J	`jnl`	Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge
2021	—	`conf`	HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia. MIE Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad
2021	—	`conf`	Network Analysis of COVID-19 Vaccine Misinformation on Social Media. EFMI-STC Chad A. Melton, Olufunto A. Olusanya, Arash Shaban-Nejad
2021	J	`jnl`	Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. CoRR Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
2021	J	`jnl`	Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. Frontiers Big Data Jon Haël Brenas, Arash Shaban-Nejad
2021	J	`jnl`	Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. CoRR Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
2021	—	`conf`	SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). IEEE BigData Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad
2021	—	`conf`	Sentiment Analysis of the Covid-19 Vaccines on Social Media. MedInfo Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
2021	—	`conf`	UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. IEEE BigData Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
2021	J	`jnl`	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. CoRR Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
2020	J	`jnl`	Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. CoRR Nariman Ammar, Arash Shaban-Nejad
2020	—	`ch.`	From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention. Precision Health and Medicine Arash Shaban-Nejad, Martin Michalowski
2020	J	`jnl`	Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. IEEE Access Jon Haël Brenas, Arash Shaban-Nejad
2020	—	`conf`	Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. EFMI-STC 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
2020	—	`book`	Precision Health and Medicine - A Digital Revolution in Healthcare Precision Health and Medicine Arash Shaban-Nejad, Martin Michalowski
2020	J	`jnl`	Seven pillars of precision digital health and medicine. Artif. Intell. Medicine Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge
2020	J	`jnl`	The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
2020	—	`conf`	The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. MIE Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
2019	—	`conf`	A Hybrid Recommender System to Guide Assessment and Surveillance of Adverse Childhood Experiences. ICIMTH Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
2019	J	`jnl`	A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. CoRR Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher J. O. Baker, Arash Shaban-Nejad
2019	J	`jnl`	Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques. CoRR Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
2019	J	`jnl`	An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. CoRR Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
2019	—	`conf`	An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs). EFMI-STC Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
2019	—	`conf`	Applied Network Science for Relational Chronic Disease Surveillance. ICIMTH Eun Kyong Shin, Arash Shaban-Nejad
2019	J	`jnl`	Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. CoRR Eun Kyong Shin, Youngsang Kwon, Arash Shaban-Nejad
2019	J	`jnl`	Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
2018	J	`jnl`	Applied Graph Transformation and Verification With Use Cases in Malaria Surveillance. IEEE Access Jon Haël Brenas, Martin Strecker, Rachid Echahed, Arash Shaban-Nejad
2018	—	`conf`	Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. EFMI-STC Ruhi Mahajan, Eun Kyong Shin, Arash Shaban-Nejad, Max Raymond Langham, Michelle Y. Martin, Robert Lowell Davis, Oguz Akbilgic
2018	—	`conf`	Exploring Semantic Data Federation to Enable Malaria Surveillance Queries. MIE Jon Haël Brenas, Mohammad Sadnan Al Manir, Kate Zinszer, Christopher J. O. Baker, Arash Shaban-Nejad
2018	—	`conf`	Geo-Distinctive Comorbidity Networks of Pediatric Asthma. MIE Eun Kyong Shin, Arash Shaban-Nejad
2018	J	`jnl`	Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit. Medicine Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
2018	J	`jnl`	Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, K. Brent Venable, Neal Wagner, Anna Zamansky
2018	J	`jnl`	Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. npj Digit. Medicine Eun Kyong Shin, Ruhi Mahajan, Oguz Akbilgic, Arash Shaban-Nejad
2018	J	`jnl`	Urban Decay and Pediatric Asthma Prevalence in Memphis, Tennessee: Urban Data Integration for Efficient Population Health Surveillance. IEEE Access Eun Kyong Shin, Arash Shaban-Nejad
2017	—	`conf`	A Change Management Dashboard for the SIEMA Global Malaria Surveillance Infrastructure. ISWC (Posters, Demos & Industry Tracks) Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad
2017	J	`jnl`	A Malaria Analytics Framework to Support Evolution and Interoperability of Global Health Surveillance Systems. IEEE Access Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad
2017	—	`conf`	POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. MedInfo Arash Shaban-Nejad, Anya Okhmatovskaia, Eun Kyong Shin, Robert L. Davis, David L. Buckeridge
2017	J	`jnl`	Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. BMC Bioinform. Eric C. Rouchka, Julia H. Chariker, David Tieri, Juw Won Park, Shreedharkumar D. Rajurkar, Vikas Singh, Nishchal K. Verma, Yan Cui, Mark L. Farman, Bradford Condon, Neil Moore, Jerzy W. Jaromczyk, Jolanta Jaromczyk, Daniel R. Harris, Patrick Calie, Eun Kyong Shin, Robert L. Davis, Arash Shaban-Nejad, Joshua M. Mitchell, Robert M. Flight, Qing Jun Wang, Richard M. Higashi, Teresa W.-M. Fan, Andrew N. Lane, Hunter N. B. Moseley, Liangqun Lu, Bernie J. Daigle, Xi Chen, Andrey Smelter, Li Chen, Bailey K. Phan, Nathaniel J. Serpico, Ethan G. Toney, Caroline E. Melton, Jennifer R. Mandel, Bernie J. Daigle Jr., Hao Chen, Kazi I. Zaman, Ramin Homayouni, Patrick J. Trainor, Samantha M. Carlisle, Andrew P. DeFilippis, Shesh N. Rai
2017	J	`jnl`	Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
2016	J	`jnl`	From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. J. Medical Syst. Arash Shaban-Nejad, Hiroshi Mamiya, Alexandre Riazanov, Alan J. Forster, Christopher J. O. Baker, Robyn Tamblyn, David L. Buckeridge
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2016	—	`ed.`	World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: WWW and Population Health Intelligence Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein
2015	J	`jnl`	Managing changes in distributed biomedical ontologies using hierarchical distributed graph transformation. Int. J. Data Min. Bioinform. Arash Shaban-Nejad, Volker Haarslev
2015	J	`jnl`	Reports from the 2015 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	Misc	`conf`	The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. AMIA Kate Zinszer, Anya Okhmatovskaia, Arash Shaban-Nejad, Lauren N. Carroll, Neil F. Abernethy, David L. Buckeridge
2015	—	`ed.`	World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Workshop: WWW and Public Health Intelligence Arash Shaban-Nejad, David L. Buckeridge, John S. Brownstein
2014	—	`conf`	Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. MIE Anya Okhmatovskaia, Arash Shaban-Nejad, Maxime Lavigne, David L. Buckeridge
2014	Misc	`conf`	Implementation of a Population Health Record in Montreal, Canada. AMIA Maxime Lavigne, Lam Dang-Duy, Catherine Ghassemian, Alexis Hamel, Anna Okhmatovskaia, Mojtaba Peyvandy, Arash Shaban-Nejad, David L. Buckeridge
2013	—	`conf`	A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. ISWC (Posters & Demos) Maxime Lavigne, Arash Shaban-Nejad, Anya Okhmatovskaia, Luke Mondor, David L. Buckeridge
2013	—	`conf`	PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. MedInfo Arash Shaban-Nejad, Anya Okhmatovskaia, Masoumeh T. Izadi, Nona Naderi, Luke Mondor, Christian Jauvin, David L. Buckeridge
2013	—	`conf`	PopHR: An Integrated Semantic Framework for Population Health Surveillance. ICBO Arash Shaban-Nejad, Christian Jauvin, Maxime Lavigne, Masoumeh T. Izadi, Luke Mondor, Anya Okhmatovskaia, David L. Buckeridge
2013	J	`jnl`	Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. J. Biomed. Semant. Alexandre Riazanov, Artjom Klein, Arash Shaban-Nejad, Gregory W. Rose, Alan J. Forster, David L. Buckeridge, Christopher J. O. Baker
2013	—	`conf`	Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. WWW (Companion Volume) Stephanie Brien, Nona Naderi, Arash Shaban-Nejad, Luke Mondor, Doerthe Kroemker, David L. Buckeridge
2012	—	`conf`	A knowledge-based architecture for integrating and interpreting population health data. DG.O Arash Shaban-Nejad, Yu Ma, Masoumeh T. Izadi, Laurette Dubé, Luke Mondor, David L. Buckeridge
2012	—	`conf`	An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. ANT/MobiWIS Jinan El-Hachem, Arash Shaban-Nejad, Volker Haarslev, Laurette Dubé, David L. Buckeridge
2012	J	`jnl`	An infrastructure for real-time population health assessment and monitoring. IBM J. Res. Dev. David L. Buckeridge, Masoumeh T. Izadi, Arash Shaban-Nejad, Luke Mondor, Christian Jauvin, Laurette Dubé, Yeona Jang, Robyn Tamblyn
2012	—	`conf`	HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. ANT/MobiWIS Arash Shaban-Nejad, Alexandre Riazanov, Katia M. L. Charland, Gregory W. Rose, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge
2012	Misc	`conf`	SimPHO: an ontology for simulation modeling of population health. WSC Anya Okhmatovskaia, David L. Buckeridge, Arash Shaban-Nejad, Andrew Sutcliffe, Philippe Finès, Jacek A. Kopec, Michael C. Wolfson
2011	B	`conf`	An abstract representation model for evolutionary analysis of multi-agent interactions. IEEE Congress on Evolutionary Computation Arash Shaban-Nejad, Volker Haarslev
2011	—	`conf`	An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data. BIBM Workshops Arash Shaban-Nejad, Volker Haarslev
2011	B	`conf`	COPE: Childhood Obesity Prevention [Knowledge] Enterprise. AIME Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
2011	—	`conf`	Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. MIE Arash Shaban-Nejad, Gregory W. Rose, Anya Okhmatovskaia, Alexandre Riazanov, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge
2011	—	`conf`	Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. SWAT4LS Alexandre Riazanov, Gregory W. Rose, Artjom Klein, Alan J. Forster, Christopher J. O. Baker, Arash Shaban-Nejad, David L. Buckeridge
2010	—	`conf`	Strategic Health Information Management and Forecast: The Birdwatching Approach. ICCCI (3) Arash Shaban-Nejad, Volker Haarslev
2009	—	`ch.`	Bio-medical Ontologies Maintenance and Change Management. Biomedical Data and Applications Arash Shaban-Nejad, Volker Haarslev
2009	J	`jnl`	Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications CoRR Arash Shaban-Nejad, Olga Ormandjieva, Mohamad Kassab, Volker Haarslev
2008	Misc	`conf`	An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast. IRI Arash Shaban-Nejad, Volker Haarslev
2008	—	`conf`	Incremental Biomedical Ontology Change Management through Learning Agents. KES-AMSTA Arash Shaban-Nejad, Volker Haarslev
2008	C	`conf`	Ontology-inferred phylogeny reconstruction for analyzing the evolutionary relationships between species: Ontological inference versus cladistics. BIBE Arash Shaban-Nejad, Volker Haarslev
2008	B	`conf`	Web-based dynamic learning through lexical chaining: a step forward towards knowledge-driven education. ITiCSE Arash Shaban-Nejad, Volker Haarslev
2007	B	`conf`	Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus. AIME Arash Shaban-Nejad, Volker Haarslev
2007	B	`conf`	Managing Conceptual Revisions in a Temporal Fungal Taxonomy. CBMS Arash Shaban-Nejad, Volker Haarslev
2007	—	`conf`	Towards a framework for requirement change management in healthcare software applications. OOPSLA Companion Arash Shaban-Nejad, Volker Haarslev
2006	J	`jnl`	Semantic web infrastructure for fungal enzyme biotechnologists. J. Web Semant. Christopher J. O. Baker, Arash Shaban-Nejad, Xiao Su, Volker Haarslev, Greg Butler
2005	Misc	`conf`	The FungalWeb Ontology: Semantic Web Challenges in Bioinformatics and Genomics. ISWC Arash Shaban-Nejad, Christopher J. O. Baker, Volker Haarslev, Greg Butler