Publications

Junqueira, A. R. B., Mirza, F., & Baig, M. M. (2019). A machine learning model for predicting ICU readmissions and key risk factors: analysis from a longitudinal health records. Health and Technology. doi:10.1007/s12553-019-00329-0

Karamchandani, H., Naeem, M. A., Mirza, F., & Baig, M. M. (2019). Improving Post-Hospital Discharge Management by Implementing the Discharge Summary on a Mobile Application. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. doi:10.23919/ICMU.2018.8653261

Nguyen, H., Zhou, F., Mirza, F., & Naeem, M. A. (2019). Fall Detection Using Smartphones to Enhance Safety and Security of Older Adults at Home. In 2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018. doi:10.23919/ICMU.2018.8653613

Jia, X., Baig, M. M., Mirza, F., & GholamHosseini, H. (2019). A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction. Advances in Preventive Medicine, 2019, 1-11. doi:10.1155/2019/8392348

Mirza, F., Koli, N. V., Baig, M., & Ullah, E. (2018). An Agent-Based Modelling Approach for Scheduling and Management of Elective Surgeries. SM Journal of Health And Medical Informatics, 2(1). Retrieved from https://smjournals.com/health-medical-informatics/download.php?file=fulltext/smjhmi-v2-1004.pdf

Chanane, N., Mirza, F., & Naeem, M. (2018). Technology-Driven Medication Management: A Vision through the Lens of New Zealand Experts. In 2018 HiNZ Conference Proceedings. Wellington.

Baig, M., Mirza, F., & Gribben, B. (2018). Predicting Hospital Admission Risk Using Primary and Secondary Data Sources. In 2018 HiNZ Conference Proceedings. Wellington.

Nguyen, H., Mirza, F., & Naeem, M. (2018). IoT-based monitoring in healthcare: Case study of falls detection and management. In 2018 HiNZ Conference Proceedings. Wellington.

Baig, M., Moqeem, A., Gholamhosseini, H., & Mirza, F. (2018). Clinician-centered Mobile Application Design Framework and Clinical Decision Support for Hospitals. In 2018 HiNZ Conference Proceedings. Wellington.

Moqeem, A., Baig, M., Gholamhosseini, H., & Mirza, F. (2018). Mobile Health Application Framework for an Ideal User Experience: A User-Centered Design Approach for Clinicians. Trends in Telemedicine & E-health, 1(3). Retrieved from https://crimsonpublishers.com/tteh/pdf/TTEH.000511.pdf

Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2018). Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Aging Clinical and Experimental Research, 30(11). doi:10.1007/s40520-018-1026-6

Baig, M. M., Moqeem, A., Gholamhosseini, H., Mirza, F., & Ullah, E. (2018). Vital Signs Monitoring and Decision Support Application – A 6S Framework for User-centred Design Approach for mHealth Applications. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 344-355). Kuala Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

Baig, M. M., Mirza, F., Gholamhosseini, H., Gutierrez, J., & Ullah, E. (2018). Automated and Early detection of long-term conditions using a real-time wearable patient monitoring system. In 35th International Conference of International Society for Quality in Health Care (ISQua) (pp. 2244-2245). Kaula Lampur. Retrieved from https://www.isqua.org/images/PDFs/ISQua-programme-KL-2018.pdf

Moqeem, A., Baig, M., Gholamhosseini, H., Mirza, F., & Linden, M. (2018). Medical device integrated vital signs monitoring application with real-time clinical decision support. Studies in Health Technology and Informatics, 249. doi:10.3233/978-1-61499-868-6-189

Darliansyah, A., Wandabwa, H., Naeem, M. A., Mirza, F., & Pears, R. (2018). Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. In I. S. Bajwa, F. Kamareddine, & A. Costa (Eds.), Intelligent Technologies and Applications (pp. 65-75). Springer. doi:10.1007/978-981-13-6052-7

Liu, W., Mirza, F., Narayanan, A., & Souligna, S. (2018). Is it possible to cure Internet addiction with the Internet?. AI and Society. doi:10.1007/s00146-018-0858-0

Ubaid, A., Mirza, F., Baig, M., & Gholamhosseini, H. (2018). Identifying the relationship between unstable vital signs and intensive care unit (ICU) readmissions: an analysis of 10-year of hospital ICU readmissions. Health and Technology. doi:10.1007/s12553-018-0255-1

Nayak, S., Hossain, M. A., Mirza, F., Naeem, M. A., & Jamil, N. (2018). E-BRACE: A Secure Electronic Health Record Access Method in Medical Emergency. In I. S. Bajwa, F. Kamareddine, & A. Costa (Eds.), Intelligent Technologies and Applications. Springer. doi:10.1007/978-981-13-6052-7

Jamil, N., Mirza, F., Naeem, M. A., & Baghaei, N. (2018). A refinement of an iterative orthogonal projection method. Journal of Computational and Applied Mathematics, 341. doi:10.1016/j.cam.2018.02.025

Wandabwa, H., Naeem, M. A., Pears, R., & Mirza, F. (2018). A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access, 6. doi:10.1109/ACCESS.2018.2878441

Hossain., Mirza, F., naeem., & Gutierrez. (2017). A crowd sourced framework for neighbour assisted medical emergency system. In 2017 27th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 1-6). Melbourne. doi:10.1109/ATNAC.2017.8215436

Chanane, N., Mirza, F., Naeem, M., & Mirza, A. (2017). Acceptance of technology-driven interventions for improving medication adherence. In Third International Conference, FNSS 2017. Florida: Springer. doi:10.1007/978-3-319-65548-2

Baig, M., Mirza, F., GholamHosseini, H., Gutierrez, J., & Ullah, E. (2018). Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology.. In Proceedings – 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4456-4459). Honolulu, HI. doi:10.1109/EMBC.2018.8513343

Mirza, F., Ma., & Ahmed, S. (2017). IIOT and Data Science – Applications in Healthcare & Food Science. Industrial Internet of Things Conference, IDC Conferenz, Grand Millennium, Auckland.

Parry., & Mirza, F. (2017). Can my Toaster connect to the Internet?. Afraid to Ask, AUT Podcast. Retrieved from https://omny.fm/shows/afraid-to-ask/7-can-my-toaster-connect-to-the-internet

Ghazala., Naeem., Mirza, F., & Jamil, N. (2017). Uncovering useful patterns in shopping cart data. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 349-354). Wellington: IEEE. doi:10.1109/CSCWD.2017.8066719

Ma., Nguyen., Mirza, F., & Neuland. (2017). Two way architecture between IoT sensors and cloud computing for remote health care monitoring applications. In Proceedings of the 25th European Conference on Information Systems (ECIS) (pp. 2834). Guimarães. Retrieved from http://aisel.aisnet.org/ecis2017_rip/34/?utm_source=aisel.aisnet.org/ecis2017_rip/34&utm_medium=PDF&utm_campaign=PDFCoverPages

GholamHosseini, H., Baig, M. M., Meintjes, A., Mirza, F., & Lindén, M. (2017). Smartphone-based blood pressure monitoring for falls risk assessment: Techniques and technologies. In S. Longhi, A. Monteriù, & A. Freddi (Eds.), Human monitoring, smart health and assisted living: Techniques and technologies (pp. 203-215). London, United Kingdom: The Institution of Engineering and Technology. Retrieved from http://www.theiet.org/

Datt, S., Senapathi, M., & Mirza, F. (2017). IO Vision – an integrated system to support the visually impaired. In ACIS 2017 Conference Proceedings. Hobart. Retrieved from https://www.acis2017.org/wp-content/uploads/2017/11/ACIS2017_paper_56_RIP.pdf

Wandabwa, H., Naeem., & Mirza, F. (2017). Document level semantic comprehension of noisy text streams via convolutional neural networks. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 475-479). Wellington: IEEE. doi:10.1109/CSCWD.2017.8066740

Nguyen, H., Mirza, F., Naeem, M. A., & Baig, M. M. (2017). Detecting falls using a wearable accelerometer motion sensor. In ACM International Conference Proceeding Series (pp. 422-431). doi:10.1145/3144457.3144484

Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics Journal. doi:10.1177/1460458217740722

Wandabwa, H., Naeem, M., & Mirza, F. (2017). Aspect of blame in tweets: A deep recurrent neural network approach. In WWW ’17 Companion Proceedings of the 26th International Conference on World Wide Web Companion (pp. 1423-1424). Perth: ACM. doi:10.1145/3041021.3051157

Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). A systematic review of wearable patient monitoring systems: Current challenges and opportunities for clinical adoption. Journal of Medical Systems, 41. doi:10.1007/s10916-017-0760-1

Nguyen, H. H., Mirza, F., Naeem, M. A., & Nguyen, M. (2017). A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. In Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 257-262). Wellington: IEEE. Retrieved from http://cscwd17.sim.vuw.ac.nz/

Hossain, A., Mirza, F., Naeem, M. A., Gutierrez, J., & IEEE. (2017). A Crowd Sourced Framework for Neighbour Assisted Medical Emergency System. In 2017 27TH INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC) (pp. 480-485). . doi:10.1109/ATNAC.2017.8215436

Mirza, F., Mirza, A., Chung, C., & Sundaram, D. (2016). Sustainable, holistic, adaptable, real-time, and precise (SHARP) approach towards developing health and wellness systems. In Proceedings of FNSS 2016: Future Network Systems and Security Vol. 670 (pp. 157-171). Paris. doi:10.1007/978-3-319-48021-3_11

Mirza, F., Neuland., & Ma. (2016). Case study: Harness the power of seamless monitoring with IoT. Internet of Things, IDC Conferenz, Grand Millennium, Auckland.

Gholamhosseini, H., Baig, M. M., Mirza, F., & Luo, D. (2016). Smartphone-based continuous blood pressure monitoring application – robust security and privacy framework. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON) (pp. 2939-2942). Singapore: IEEE. doi:10.1109/TENCON.2016.7848583

Mirza, F. (2015). Agent-based modeling for the analysis of technology introduction and competition in telecommunication markets. Case studies of fiber optic broadband and wireless markets. (University of Auckland).

Mirza, F., & Beltrán, F. (2014). Using an Agent-Based Approach for the Analysis of Competition Dynamics in a Mobile Service Market. In 36th Annual Pacific Telecommunications Conference (PTC). Honolulu.

Mirza, F. (2014). Software – Tabby Survey / Mārama – Application for real time patient / consumer feedback & business analytics. Auckland. Retrieved from http://hdcrtf.co.nz/

Mirza, F., & Beltran, F. (2014). Consumer resistance factors for the adoption of FTTH ultra-fast broadband in New Zealand. Journal of Information Policy, 4. doi:10.5325/jinfopoli.4.2014.0128

Beltrán, F., & Mirza, F. (2014). An agent-based model of access uptake on a high-speed broadband platform. In S. Leitner, & F. Wall (Eds.), Artificial economics and self organization (pp. 219-231). New York: Springer International Publishing. doi:10.1007/978-3-319-00912-4_17

Mirza, F., & Beltrán, F. (2013). Using an agent-based friend circle creator model to analyze drivers of consumer choice: network effects vs. value proposition. In 16th Communications & Networking Symposium – Proceedings Vol. 45 (pp. 37-41). San Diego, CA.

Mirza, F. (2013). Using an Agent-Based Approach for the Analysis of Competition Dynamics in a Mobile Service Market.

Mirza, F., & Beltrán, F. (2013). Modeling the access market of the two-sided ultra fast broadband platform in New Zealand. In 16th Communications and Networking Symposium (CNS 2013) – Proceedings (pp. 13-18). San Diego, California: Society for Computer Simulation International. Retrieved from http://toc.proceedings.com/17606webtoc.pdf

Mirza, F. (2013). Mobile Health Opportunities in New Zealand: Perspectives of Health Planners and Practitioners. LAP LAMBERT Academic Publishing. Retrieved from https://www.amazon.com/Mobile-Health-Opportunities-Zealand-Practitioners/dp/3659430722/159-0452353-2262443

Mirza, F., & Beltrán, F. (2013). Drivers and Barriers to the Uptake of a FTTH Ultra-Fast Broadband in New Zealand. In TPRC 41: The 41st Research Conference on Communication, Information and Internet Policy. Arlington: SSRN. doi:10.2139/ssrn.2241514

Beltrán, F., & Mirza, F. (2013). An agent-based model of access uptake on a high-speed broadband platform. In Dynamics of Social and Economic Networks, Proceedings of Artificial Economics. Klagenfurt.

Mirza, F., & Beltrán, F. (2013). Agent based model of service providers and consumers within a dynamic mobile communications market. In 20th International Congress on Modelling and Simulation (MODSIM) – Abstracts (pp. 305). Adelaide: Modelling and Simulation Society of Australia and New Zealand (MSSANZ).

Mirza, F., & Beltran, F. (2012). Using Agent Based Analysis for Technological Standardization. In Universitas 21, Doctoral Research Conference in Business (U21 DRCB). Hartford.

Mirza, F., & Beltrán, F. (2012). Using Agent Based Analysis for Technological Standardization. In 2nd New Zealand Information Systems Doctoral Conference (NZISDC). .

Mirza, F., & Beltrán, F. (2011). Technology Standardization Battles: An Agent Based Analysis. In 15th Pacific Asia Conference on Information Systems. . Retrieved from http://aisel.aisnet.org/pacis2011/index.2.html

Mirza, F. (2010). The Battle for the Supremacy of Wireless Broadband Access (4G). In Inaugural New Zealand Information Systems Doctoral Conference (NZISDC). .

Mirza, F. (2009). Supremacy of 4G Technology – WiMax or LTE.

Mirza, F., Norris, T., & Stockdale, R. (2008). Mobile technologies and the holistic management of chronic diseases. Health Informatics Journal, 14(4), 309-321. doi:10.1177/1460458208096559

Stockdale, R., Norris, T., & Mirza, F. (2008). Mobile Health and Chronic Disease Management: Moving Towards a Holistic Approach. In Proceedings of the Australasian Conference on Information Systems (ACIS) (pp. 34). .

Mirza, F., & Norris, T. (2007). Opportunities and barriers for mobile health in New Zealand. In K. A. Kuhn, J. R. Warren, & T. -Y. Leong (Eds.), MEDINFO 2007, Proceedings of the 12th World Congress on Health (Medical) Informatics, Studies in health technology and informatics (pp. 102). IOS Press; 1999.

Mirza, F., & Norris, T. (2007). Opportunities and barriers for mobile health in New Zealand. .

Mirza, F. (2007). Opportunities and Barriers for M-Health in New Zealand. (Massey University).