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ORCIDArash Shaban-Nejad
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- affiliation: University of Tennessee Health Science Center, USA
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2020 – today
- 2024
[i20]Soheil Hashtarkhani, David L. Schwartz, Arash Shaban-Nejad:
Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. CoRR abs/2403.05575 (2024)- [i19]Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya:
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. CoRR abs/2408.13295 (2024) - 2023
- [j24]Fekede Asefa Kumsa
, Rameshwari Prasad, Arash Shaban-Nejad:
Medication abortion via digital health in the United States: a systematic scoping review. npj Digit. Medicine 6 (2023) - [c44]Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad:
A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. EFMI-STC 2023: 3-7 - [c43]Brianna White, Fekede Asefa Kumsa, Nupur Singh, Chad A. Melton, Arash Shaban-Nejad:
Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics. EFMI-STC 2023: 304-305 - [c42]Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz:
Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. MedInfo 2023: 1501-1502 - [i18]Brianna M. White, Chad A. Melton, Parya Zareie, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad:
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. CoRR abs/2303.16759 (2023) - [i17]Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad:
Medication abortion via digital health in the United States: a systematic scoping review. CoRR abs/2312.00216 (2023) - 2022
- [j23]Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad:
Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access 10: 52418-52430 (2022) - [c41]Brianna M. White, Arash Shaban-Nejad:
Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities. ICIMTH 2022: 499-502 - [i16]Olufunto A. Olusanya, Brianna White, Chad A. Melton, Arash Shaban-Nejad:
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 abs/2206.03286 (2022) - [i15]Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad:
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. CoRR abs/2208.04144 (2022) - [i14]Whitney S. Brakefield, Olufunto A. Olusanya, Arash Shaban-Nejad:
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. CoRR abs/2208.05335 (2022) - [i13]Chad A. Melton, Brianna M. White, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad:
Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study. CoRR abs/2211.15407 (2022) - 2021
- [j22]Jon Haël Brenas, Arash Shaban-Nejad:
Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. Frontiers Big Data 4: 660101 (2021) - [j21]Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad:
A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers Digit. Health 3: 683161 (2021) - [j20]Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge:
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics 25(7): 2374-2375 (2021) - [c40]Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad:
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). IEEE BigData 2021: 5843-5847 - [c39]Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad:
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. IEEE BigData 2021: 5854-5858 - [c38]Chad A. Melton, Olufunto A. Olusanya, Arash Shaban-Nejad:
Network Analysis of COVID-19 Vaccine Misinformation on Social Media. EFMI-STC 2021: 165-166 - [c37]Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad:
Sentiment Analysis of the Covid-19 Vaccines on Social Media. MedInfo 2021: 1056-1057 - [c36]Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad:
HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia. MIE 2021: 550-554 - [i12]Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad:
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 abs/2103.09311 (2021) - [i11]Oguz Akbilgic, Eun Kyong Shin, Arash Shaban-Nejad:
A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. CoRR abs/2104.04058 (2021) - [i10]Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad:
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. CoRR abs/2105.04414 (2021) - [i9]Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad:
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study. CoRR abs/2106.11067 (2021) - [i8]Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad:
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 abs/2108.13293 (2021) - 2020
- [j19]Jon Haël Brenas, Arash Shaban-Nejad:
Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. IEEE Access 8: 9942-9952 (2020) - [j18]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:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [j17]Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge:
Seven pillars of precision digital health and medicine. Artif. Intell. Medicine 103: 101793 (2020) - [c35]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:
Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. EFMI-STC 2020: 22-26 - [c34]Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad:
The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. MIE 2020: 448-452 - [p2]Arash Shaban-Nejad, Martin Michalowski:
From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention. Precision Health and Medicine 2020: 1-7 - [e3]Arash Shaban-Nejad, Martin Michalowski:
Precision Health and Medicine - A Digital Revolution in Healthcare. Studies in Computational Intelligence 843, Springer 2020, ISBN 978-3-030-24408-8 [contents] - [i7]Nariman Ammar, Arash Shaban-Nejad:
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. CoRR abs/2011.08090 (2020)
2010 – 2019
- 2019
- [j16]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:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [c33]Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad:
An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs). EFMI-STC 2019: 31-35 - [c32]Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad:
A Hybrid Recommender System to Guide Assessment and Surveillance of Adverse Childhood Experiences. ICIMTH 2019: 332-335 - [c31]Eun Kyong Shin, Arash Shaban-Nejad:
Applied Network Science for Relational Chronic Disease Surveillance. ICIMTH 2019: 336-339 - [i6]Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher J. O. Baker, Arash Shaban-Nejad:
A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. CoRR abs/1902.01877 (2019) - [i5]Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé:
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. CoRR abs/1911.09763 (2019) - [i4]Eun Kyong Shin, Youngsang Kwon, Arash Shaban-Nejad:
Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. CoRR abs/1911.09769 (2019) - [i3]Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad:
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques. CoRR abs/1912.05530 (2019) - 2018
- [j15]Eun Kyong Shin, Arash Shaban-Nejad:
Urban Decay and Pediatric Asthma Prevalence in Memphis, Tennessee: Urban Data Integration for Efficient Population Health Surveillance. IEEE Access 6: 46281-46289 (2018) - [j14]Jon Haël Brenas, Martin Strecker, Rachid Echahed, Arash Shaban-Nejad:
Applied Graph Transformation and Verification With Use Cases in Malaria Surveillance. IEEE Access 6: 64728-64741 (2018) - [j13]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, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [j12]Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge:
Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit. Medicine 1 (2018) - [j11]Eun Kyong Shin, Ruhi Mahajan, Oguz Akbilgic, Arash Shaban-Nejad:
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. npj Digit. Medicine 1 (2018) - [c30]Ruhi Mahajan, Eun Kyong Shin, Arash Shaban-Nejad, Max Raymond Langham, Michelle Y. Martin, Robert Lowell Davis, Oguz Akbilgic:
Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. EFMI-STC 2018: 80-84 - [c29]Jon Haël Brenas, Mohammad Sadnan Al Manir, Kate Zinszer, Christopher J. O. Baker, Arash Shaban-Nejad:
Exploring Semantic Data Federation to Enable Malaria Surveillance Queries. MIE 2018: 6-10 - [c28]Eun Kyong Shin, Arash Shaban-Nejad:
Geo-Distinctive Comorbidity Networks of Pediatric Asthma. MIE 2018: 436-440 - 2017
- [j10]Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad:
A Malaria Analytics Framework to Support Evolution and Interoperability of Global Health Surveillance Systems. IEEE Access 5: 21605-21619 (2017) - [j9]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:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j8]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:
Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. BMC Bioinform. 18(S-9) (2017) - [c27]Arash Shaban-Nejad, Anya Okhmatovskaia, Eun Kyong Shin, Robert L. Davis, David L. Buckeridge:
POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. MedInfo 2017: 1335 - [c26]Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad:
A Change Management Dashboard for the SIEMA Global Malaria Surveillance Infrastructure. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [j7]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:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [j6]Arash Shaban-Nejad, Hiroshi Mamiya, Alexandre Riazanov, Alan J. Forster, Christopher J. O. Baker, Robyn Tamblyn, David L. Buckeridge:
From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. J. Medical Syst. 40(1): 23:1-23:12 (2016) - [e2]Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein:
World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-15, AAAI Press 2016 [contents] - 2015
- [j5]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:
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36(1): 87-98 (2015) - [j4]Arash Shaban-Nejad, Volker Haarslev:
Managing changes in distributed biomedical ontologies using hierarchical distributed graph transformation. Int. J. Data Min. Bioinform. 11(1): 53-83 (2015) - [c25]Kate Zinszer, Anya Okhmatovskaia, Arash Shaban-Nejad, Lauren N. Carroll, Neil F. Abernethy, David L. Buckeridge:
The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. AMIA 2015 - [e1]Arash Shaban-Nejad, David L. Buckeridge, John S. Brownstein:
World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Technical Report WS-15-15, AAAI Press 2015 [contents] - [i2]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:
Reports from the 2015 AAAI Workshop Program. AI Mag. 36(2): 90-101 (2015) - 2014
- [c24]Maxime Lavigne, Lam Dang-Duy, Catherine Ghassemian, Alexis Hamel, Anna Okhmatovskaia, Mojtaba Peyvandy, Arash Shaban-Nejad, David L. Buckeridge:
Implementation of a Population Health Record in Montreal, Canada. AMIA 2014 - [c23]Anya Okhmatovskaia, Arash Shaban-Nejad, Maxime Lavigne, David L. Buckeridge:
Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. MIE 2014: 1125-1129 - 2013
- [j3]Alexandre Riazanov, Artjom Klein, Arash Shaban-Nejad, Gregory W. Rose, Alan J. Forster, David L. Buckeridge, Christopher J. O. Baker:
Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. J. Biomed. Semant. 4: 9 (2013) - [c22]Arash Shaban-Nejad, Christian Jauvin, Maxime Lavigne, Masoumeh T. Izadi, Luke Mondor, Anya Okhmatovskaia, David L. Buckeridge:
PopHR: An Integrated Semantic Framework for Population Health Surveillance. ICBO 2013: 118 - [c21]Arash Shaban-Nejad, Anya Okhmatovskaia, Masoumeh T. Izadi, Nona Naderi, Luke Mondor, Christian Jauvin, David L. Buckeridge:
PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. MedInfo 2013: 1207 - [c20]Maxime Lavigne, Arash Shaban-Nejad, Anya Okhmatovskaia, Luke Mondor, David L. Buckeridge:
A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. ISWC (Posters & Demos) 2013: 269-272 - [c19]Stephanie Brien, Nona Naderi, Arash Shaban-Nejad, Luke Mondor, Doerthe Kroemker, David L. Buckeridge:
Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. WWW (Companion Volume) 2013: 683-686 - 2012
- [j2]David L. Buckeridge, Masoumeh T. Izadi, Arash Shaban-Nejad, Luke Mondor, Christian Jauvin, Laurette Dubé, Yeona Jang, Robyn Tamblyn:
An infrastructure for real-time population health assessment and monitoring. IBM J. Res. Dev. 56(5): 2 (2012) - [c18]Arash Shaban-Nejad, Yu Ma, Masoumeh T. Izadi, Laurette Dubé, Luke Mondor, David L. Buckeridge:
A knowledge-based architecture for integrating and interpreting population health data. DG.O 2012: 285-286 - [c17]Anya Okhmatovskaia, David L. Buckeridge, Arash Shaban-Nejad, Andrew Sutcliffe, Philippe Finès, Jacek A. Kopec, Michael C. Wolfson:
SimPHO: an ontology for simulation modeling of population health. WSC 2012: 79:1-79:12 - [c16]Jinan El-Hachem, Arash Shaban-Nejad, Volker Haarslev, Laurette Dubé, David L. Buckeridge:
An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. ANT/MobiWIS 2012: 110-119 - [c15]Arash Shaban-Nejad, Alexandre Riazanov, Katia M. L. Charland, Gregory W. Rose, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge:
HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. ANT/MobiWIS 2012: 1073-1079 - 2011
- [c14]Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé:
COPE: Childhood Obesity Prevention [Knowledge] Enterprise. AIME 2011: 225-229 - [c13]Arash Shaban-Nejad, Volker Haarslev:
An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data. BIBM Workshops 2011: 615-622 - [c12]Arash Shaban-Nejad, Volker Haarslev:
An abstract representation model for evolutionary analysis of multi-agent interactions. IEEE Congress on Evolutionary Computation 2011: 2002-2009 - [c11]Arash Shaban-Nejad, Gregory W. Rose, Anya Okhmatovskaia, Alexandre Riazanov, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge:
Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. MIE 2011: 145-149 - [c10]Alexandre Riazanov, Gregory W. Rose, Artjom Klein, Alan J. Forster, Christopher J. O. Baker, Arash Shaban-Nejad, David L. Buckeridge:
Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. SWAT4LS 2011: 106-113 - 2010
- [c9]Arash Shaban-Nejad, Volker Haarslev:
Strategic Health Information Management and Forecast: The Birdwatching Approach. ICCCI (3) 2010: 457-468
2000 – 2009
- 2009
- [p1]Arash Shaban-Nejad, Volker Haarslev:
Bio-medical Ontologies Maintenance and Change Management. Biomedical Data and Applications 2009: 143-168 - [i1]Arash Shaban-Nejad, Olga Ormandjieva, Mohamad Kassab, Volker Haarslev:
Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications. CoRR abs/0906.1842 (2009) - 2008
- [c8]Arash Shaban-Nejad, Volker Haarslev:
Ontology-inferred phylogeny reconstruction for analyzing the evolutionary relationships between species: Ontological inference versus cladistics. BIBE 2008: 1-7 - [c7]Arash Shaban-Nejad, Volker Haarslev:
An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast. IRI 2008: 357-362 - [c6]Arash Shaban-Nejad, Volker Haarslev:
Web-based dynamic learning through lexical chaining: a step forward towards knowledge-driven education. ITiCSE 2008: 375 - [c5]Arash Shaban-Nejad, Volker Haarslev:
Incremental Biomedical Ontology Change Management through Learning Agents. KES-AMSTA 2008: 526-535 - 2007
- [c4]Arash Shaban-Nejad, Volker Haarslev:
Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus. AIME 2007: 277-286 - [c3]Arash Shaban-Nejad, Volker Haarslev:
Managing Conceptual Revisions in a Temporal Fungal Taxonomy. CBMS 2007: 624-632 - [c2]Arash Shaban-Nejad, Volker Haarslev:
Towards a framework for requirement change management in healthcare software applications. OOPSLA Companion 2007: 807-808 - 2006
- [j1]Christopher J. O. Baker, Arash Shaban-Nejad, Xiao Su, Volker Haarslev, Greg Butler:
Semantic web infrastructure for fungal enzyme biotechnologists. J. Web Semant. 4(3): 168-180 (2006) - 2005
- [c1]Arash Shaban-Nejad, Christopher J. O. Baker, Volker Haarslev, Greg Butler:
The FungalWeb Ontology: Semantic Web Challenges in Bioinformatics and Genomics. ISWC 2005: 1063-1066
Coauthor Index