The FungalWeb Ontology: Semantic Web Challenges in Bioinformatics and Genomics. - Arash Shaban-Nejad; Christopher J. O. Baker; Volker Haarslev; Greg Butler (ISWC, 2005)

Semantic web infrastructure for fungal enzyme biotechnologists. - Christopher J. O. Baker; Arash Shaban-Nejad; Xiao Su; Volker Haarslev; Greg Butler (J. Web Semant., 2006)

Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus. - Arash Shaban-Nejad; Volker Haarslev (AIME, 2007)

Managing Conceptual Revisions in a Temporal Fungal Taxonomy. - Arash Shaban-Nejad; Volker Haarslev (CBMS, 2007)

Towards a framework for requirement change management in healthcare software applications. - Arash Shaban-Nejad; Volker Haarslev (OOPSLA Companion, 2007)

Ontology-inferred phylogeny reconstruction for analyzing the evolutionary relationships between species: Ontological inference versus cladistics. - Arash Shaban-Nejad; Volker Haarslev (BIBE, 2008)

An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast. - Arash Shaban-Nejad; Volker Haarslev (IRI, 2008)

Web-based dynamic learning through lexical chaining: a step forward towards knowledge-driven education. - Arash Shaban-Nejad; Volker Haarslev (ITiCSE, 2008)

Incremental Biomedical Ontology Change Management through Learning Agents. - Arash Shaban-Nejad; Volker Haarslev (KES-AMSTA, 2008)

Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications - Arash Shaban-Nejad; Olga Ormandjieva; Mohamad Kassab; Volker Haarslev (CoRR, 2009)

Bio-medical Ontologies Maintenance and Change Management. - Arash Shaban-Nejad; Volker Haarslev (Biomedical Data and Applications, 2009)

Strategic Health Information Management and Forecast: The Birdwatching Approach. - Arash Shaban-Nejad; Volker Haarslev (ICCCI (3), 2010)

COPE: Childhood Obesity Prevention [Knowledge] Enterprise. - Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (AIME, 2011)

An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data. - Arash Shaban-Nejad; Volker Haarslev (BIBM Workshops, 2011)

An abstract representation model for evolutionary analysis of multi-agent interactions. - Arash Shaban-Nejad; Volker Haarslev (IEEE Congress on Evolutionary Computation, 2011)

Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. - Arash Shaban-Nejad; Gregory W. Rose; Anya Okhmatovskaia; Alexandre Riazanov; Christopher J. O. Baker; Robyn Tamblyn; Alan J. Forster; David L. Buckeridge (MIE, 2011)

Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. - Alexandre Riazanov; Gregory W. Rose; Artjom Klein; Alan J. Forster; Christopher J. O. Baker; Arash Shaban-Nejad; David L. Buckeridge (SWAT4LS, 2011)

A knowledge-based architecture for integrating and interpreting population health data. - Arash Shaban-Nejad; Yu Ma; Masoumeh T. Izadi; Laurette Dubé; Luke Mondor; David L. Buckeridge (DG.O, 2012)

SimPHO: an ontology for simulation modeling of population health. - Anya Okhmatovskaia; David L. Buckeridge; Arash Shaban-Nejad; Andrew Sutcliffe; Philippe Finès; Jacek A. Kopec; Michael C. Wolfson (WSC, 2012)

An infrastructure for real-time population health assessment and monitoring. - David L. Buckeridge; Masoumeh T. Izadi; Arash Shaban-Nejad; Luke Mondor; Christian Jauvin; Laurette Dubé; Yeona Jang; Robyn Tamblyn (IBM J. Res. Dev., 2012)

An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. - Jinan El-Hachem; Arash Shaban-Nejad; Volker Haarslev; Laurette Dubé; David L. Buckeridge (ANT/MobiWIS, 2012)

HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. - Arash Shaban-Nejad; Alexandre Riazanov; Katia M. L. Charland; Gregory W. Rose; Christopher J. O. Baker; Robyn Tamblyn; Alan J. Forster; David L. Buckeridge (ANT/MobiWIS, 2012)

PopHR: An Integrated Semantic Framework for Population Health Surveillance. - Arash Shaban-Nejad; Christian Jauvin; Maxime Lavigne; Masoumeh T. Izadi; Luke Mondor; Anya Okhmatovskaia; David L. Buckeridge (ICBO, 2013)

PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. - Arash Shaban-Nejad; Anya Okhmatovskaia; Masoumeh T. Izadi; Nona Naderi; Luke Mondor; Christian Jauvin; David L. Buckeridge (MedInfo, 2013)

A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. - Maxime Lavigne; Arash Shaban-Nejad; Anya Okhmatovskaia; Luke Mondor; David L. Buckeridge (ISWC (Posters & Demos), 2013)

Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. - Stephanie Brien; Nona Naderi; Arash Shaban-Nejad; Luke Mondor; Doerthe Kroemker; David L. Buckeridge (WWW (Companion Volume), 2013)

Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. - Alexandre Riazanov; Artjom Klein; Arash Shaban-Nejad; Gregory W. Rose; Alan J. Forster; David L. Buckeridge; Christopher J. O. Baker (J. Biomed. Semant., 2013)

Implementation of a Population Health Record in Montreal, Canada. - Maxime Lavigne; Lam Dang-Duy; Catherine Ghassemian; Alexis Hamel; Anna Okhmatovskaia; Mojtaba Peyvandy; Arash Shaban-Nejad; David L. Buckeridge (AMIA, 2014)

Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. - Anya Okhmatovskaia; Arash Shaban-Nejad; Maxime Lavigne; David L. Buckeridge (MIE, 2014)

The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. - Kate Zinszer; Anya Okhmatovskaia; Arash Shaban-Nejad; Lauren N. Carroll; Neil F. Abernethy; David L. Buckeridge (AMIA, 2015)

Reports of the AAAI 2014 Conference Workshops. - 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; et al. (AI Mag., 2015)

Reports from the 2015 AAAI Workshop Program. - 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; et al. (AI Mag., 2015)

Managing changes in distributed biomedical ontologies using hierarchical distributed graph transformation. - Arash Shaban-Nejad; Volker Haarslev (Int. J. Data Min. Bioinform., 2015)

Reports of the 2016 AAAI Workshop Program. - Stefano V. Albrecht; Bruno Bouchard 001; John S. Brownstein; David L. Buckeridge; Cornelia Caragea; Kevin M. Carter 001; Adnan Darwiche; Blaz Fortuna; Yannick Francillette; Sébastien Gaboury; C. Lee Giles; Marko Grobelnik; et al. (AI Mag., 2016)

From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. - Arash Shaban-Nejad; Hiroshi Mamiya; Alexandre Riazanov; Alan J. Forster; Christopher J. O. Baker; Robyn Tamblyn; David L. Buckeridge (J. Medical Syst., 2016)

POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. - Arash Shaban-Nejad; Anya Okhmatovskaia; Eun Kyong Shin; Robert L. Davis; David L. Buckeridge (MedInfo, 2017)

A Change Management Dashboard for the SIEMA Global Malaria Surveillance Infrastructure. - Jon Haël Brenas; Mohammad Sadnan Al Manir; Christopher J. O. Baker; Arash Shaban-Nejad (ISWC (Posters, Demos & Industry Tracks), 2017)

A Malaria Analytics Framework to Support Evolution and Interoperability of Global Health Surveillance Systems. - Jon Haël Brenas; Mohammad Sadnan Al Manir; Christopher J. O. Baker; Arash Shaban-Nejad (IEEE Access, 2017)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Monica Anderson 001; 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; et al. (AI Mag., 2017)

Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. - Eric C. Rouchka; Julia H. Chariker; David Tieri; Juw Won Park; Shreedharkumar D. Rajurkar; Vikas Singh; Nishchal K. Verma; Yan Cui 001; Mark L. Farman; Bradford Condon; Neil Moore; Jerzy W. Jaromczyk; et al. (BMC Bioinform., 2017)

Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. - Ruhi Mahajan; Eun Kyong Shin; Arash Shaban-Nejad; Max Raymond Langham; Michelle Y. Martin; Robert Lowell Davis; Oguz Akbilgic (EFMI-STC, 2018)

Exploring Semantic Data Federation to Enable Malaria Surveillance Queries. - Jon Haël Brenas; Mohammad Sadnan Al Manir; Kate Zinszer; Christopher J. O. Baker; Arash Shaban-Nejad (MIE, 2018)

Geo-Distinctive Comorbidity Networks of Pediatric Asthma. - Eun Kyong Shin; Arash Shaban-Nejad (MIE, 2018)

Applied Graph Transformation and Verification With Use Cases in Malaria Surveillance. - Jon Haël Brenas; Martin Strecker; Rachid Echahed; Arash Shaban-Nejad (IEEE Access, 2018)

Urban Decay and Pediatric Asthma Prevalence in Memphis, Tennessee: Urban Data Integration for Efficient Population Health Surveillance. - Eun Kyong Shin; Arash Shaban-Nejad (IEEE Access, 2018)

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. - Bruno Bouchard 001; Kevin Bouchard; Noam Brown; Niyati Chhaya; Eitan Farchi; Sébastien Gaboury; Christopher W. Geib; Amelie Gyrard; Kokil Jaidka; Sarah Keren; Roni Khardon; Parisa Kordjamshidi; et al. (AI Mag., 2018)

Health intelligence: how artificial intelligence transforms population and personalized health. - Arash Shaban-Nejad; Martin Michalowski; David L. Buckeridge (npj Digit. Medicine, 2018)

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. - Eun Kyong Shin; Ruhi Mahajan; Oguz Akbilgic; Arash Shaban-Nejad (npj Digit. Medicine, 2018)

An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs). - Jon Haël Brenas; Eun Kyong Shin; Arash Shaban-Nejad (EFMI-STC, 2019)

A Hybrid Recommender System to Guide Assessment and Surveillance of Adverse Childhood Experiences. - Jon Haël Brenas; Eun Kyong Shin; Arash Shaban-Nejad (ICIMTH, 2019)

Applied Network Science for Relational Chronic Disease Surveillance. - Eun Kyong Shin; Arash Shaban-Nejad (ICIMTH, 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - 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 001; et al. (AI Mag., 2019)

A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. - Mohammad Sadnan Al Manir; Jon Haël Brenas; Christopher J. O. Baker; Arash Shaban-Nejad (CoRR, 2019)

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. - Nii Antiaye Addy; Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (CoRR, 2019)

Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. - Eun Kyong Shin; Youngsang Kwon; Arash Shaban-Nejad (CoRR, 2019)

Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques. - Jon Haël Brenas; Eun Kyong Shin; Arash Shaban-Nejad (CoRR, 2019)

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 (EFMI-STC, 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 (MIE, 2020)

Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. - Jon Haël Brenas; Arash Shaban-Nejad (IEEE Access, 2020)

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. - 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; et al. (AI Mag., 2020)

Seven pillars of precision digital health and medicine. - Arash Shaban-Nejad; Martin Michalowski; Niels Peek; John S. Brownstein; David L. Buckeridge (Artif. Intell. Medicine, 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)

From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention. - Arash Shaban-Nejad; Martin Michalowski (Precision Health and Medicine, 2020)

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 (IEEE BigData, 2021)

UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. - Whitney S. Brakefield; Nariman Ammar; Arash Shaban-Nejad (IEEE BigData, 2021)

Network Analysis of COVID-19 Vaccine Misinformation on Social Media. - Chad A. Melton; Olufunto A. Olusanya; Arash Shaban-Nejad (EFMI-STC, 2021)

Sentiment Analysis of the Covid-19 Vaccines on Social Media. - Chad A. Melton; Olufunto A. Olusanya; Nariman Ammar; Arash Shaban-Nejad (MedInfo, 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 (MIE, 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)

A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. - Oguz Akbilgic; Eun Kyong Shin; 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)

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)

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)

Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. - Jon Haël Brenas; Arash Shaban-Nejad (Frontiers Big Data, 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)

Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. - Arash Shaban-Nejad; Martin Michalowski; John S. Brownstein; David L. Buckeridge (IEEE J. Biomed. Health Informatics, 2021)

Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities. - Brianna M. White; Arash Shaban-Nejad (ICIMTH, 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)

Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries. - Olufunto A. Olusanya; Brianna White; Chad A. Melton; Arash Shaban-Nejad (CoRR, 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)

Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. - Whitney S. Brakefield; Olufunto A. Olusanya; Arash Shaban-Nejad (CoRR, 2022)

Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study. - Chad A. Melton; Brianna M. White; Robert L. Davis; Robert A. Bednarczyk; Arash Shaban-Nejad (CoRR, 2022)

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 (EFMI-STC, 2023)

Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics. - Brianna White; Fekede Asefa Kumsa; Nupur Singh; Chad A. Melton; Arash Shaban-Nejad (EFMI-STC, 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 (MedInfo, 2023)

Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. - Brianna M. White; Chad A. Melton; Parya Zareie; Robert L. Davis; Robert A. Bednarczyk; Arash Shaban-Nejad (CoRR, 2023)

Medication abortion via digital health in the United States: a systematic scoping review. - Fekede Asefa Kumsa; Rameshwari Prasad; Arash Shaban-Nejad (npj Digit. Medicine, 2023)

An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data. - Soheil Hashtarkhani; Shelley White-Means; Sam Li; Rezaur Rashid; Fekede Asefa Kumsa; Cindy Lemon; Lluvia Chipman; Jill Dapremont; Brianna White; Arash Shaban-Nejad (IEEE Big Data, 2024)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - 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 (IEEE Big Data, 2024)

Harnessing the Implementation Potential of Digital Vaccination Certificates (DVCs) on Global Scale. - Brianna M. White; Rameshwari Prasad; Olufunto A. Olusanya; Nupur Singh; Arash Shaban-Nejad (EUSPN/ICTH, 2024)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. - Shaina Raza; Arash Shaban-Nejad; Elham Dolatabadi; Hiroshi Mamiya (IEEE Access, 2024)

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. - Soheil Hashtarkhani; David L. Schwartz; Arash Shaban-Nejad (CoRR, 2024)

Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. - Brianna M. White; Rameshwari Prasad; Nariman Ammar; Jason Yaun; Arash Shaban-Nejad (CoRR, 2025)

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach. - Soheil Hashtarkhani; Yiwang Zhou; Fekede Asefa Kumsa; Shelley White-Means; David L. Schwartz; Arash Shaban-Nejad (CoRR, 2025)