Dr Shahzad Mumtaz | The University of Aberdeen

Dr Shahzad Mumtaz

Lecturer

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School/Department: School of Natural and Computing Sciences

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Corrigendum to “A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses” [J. Biomed. Inform. 2025 Feb;162:104771. https://doi.org/10.1016/j.jbi.2024.104771. Epub 2025 Jan 2. PMID: 39755323]
2025 - Published
Gao, C., Mumtaz, S., McCall, S., O'Sullivan, K., McGilchrist, M., Morales, D. R., Hall, C., Wilde, K., Mayor, C., Linksted, P., Harrison, K., Cole, C., Jefferson, E.
Journal of Biomedical Informatics, vol. 169, 104890
Contributions to Journals: Comments and Debates
- [ONLINE] DOI: https://doi.org/10.1016/j.jbi.2025.104890
- [ONLINE] View publication in Scopus
Corrigendum to “A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses”. (Journal of Biomedical Informatics (2025) 162, (S1532046424001898), (10.1016/j.jbi.2024.104771))
2025 - Published
Gao, C., Mumtaz, S., McCall, S., O'Sullivan, K., McGilchrist, M., Morales, D. R., Hall, C., Wilde, K., Mayor, C., Linksted, P., Harrison, K., Cole, C., Jefferson, E.
Journal of Biomedical Informatics, vol. 169, 104891
Contributions to Journals: Comments and Debates
- [ONLINE] DOI: https://doi.org/10.1016/j.jbi.2025.104891
- [ONLINE] View publication in Scopus
Conversion of sensitive data to Observational Medical Outcomes Partnership Common Data Model: Protocol for the development and use of Carrot
2025 - Published
Cox, S., Masood, E., Panagi, V., Macdonald, C., Milligan, G., Horban, S., Santos, R., Hall, C., Lea, D., Tarr, S., Mumtaz, S., Akashili, E., Rae, A., Urwin, E., Cole, C., Sheikh, A., Jefferson, E., Quinlan, P. R.
JMIR Research Protocols, vol. 14, e60917
Contributions to Journals: Articles
- [ONLINE] http://preprints.jmir.org/preprint/60917/accepted
- [ONLINE] DOI: https://doi.org/10.2196/60917
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/327f2d1c-c602-4668-b192-5d1c4723b3bb/download
A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses
2025 - Published
Gao, C., Mumtaz, S., Mccall, S., O’sullivan, K., Mcgilchrist, M., Morales, D. R., Hall, C., Wilde, K., Mayor, C., Linksted, P., Harrison, K., Cole, C., Jefferson, E.
Journal of Biomedical Informatics, vol. 162, 104771
Contributions to Journals: Articles
- [ONLINE] https://linkinghub.elsevier.com/retrieve/pii/S1532046424001898
- [ONLINE] DOI: https://doi.org/10.1016/j.jbi.2024.104771
A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study
2025 - Published
Mumtaz, S., McMinn, M., Cole, C., Gao, C., Hall, C., Guignard-Duff, M., Huang, H., McAllister, D. A., Morales, D. R., Jefferson, E., Guthrie, B.
Journal of Medical Internet Research, vol. 27, e52385
Contributions to Journals: Articles
- [ONLINE] DOI: https://doi.org/10.2196/52385
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/1b2b977a-b568-4419-b753-c6c435270fc3/download
The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project
2024 - Published
Jefferson, E., Milligan, G., Johnston, J., Mumtaz, S., Cole, C., Best, J., Giles, T. C., Cox, S., Masood, E., Horban, S., Urwin, E., Beggs, J., Chuter, A., Reilly, G., Morris, A., Seymour, D., Hopkins, S., Sheikh, A., Quinlan, P.
Journal of Medical Internet Research, vol. 26, e50235
Contributions to Journals: Articles
- [ONLINE] DOI: https://doi.org/10.2196/50235
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/40dd9f46-15c8-49c2-9e1c-02476ce1ff8f/download
Robust Parameter Optimisation of Noise-Tolerant Clustering for DENCLUE Using Differential Evolution
2024 - Published
Ajmal, O., Arshad, H., Arshed, M. A., Ahmed, S., Mumtaz, S.
Mathematics, vol. 12, no. 21, 3367
Contributions to Journals: Articles
- [ONLINE] DOI: https://doi.org/10.3390/math12213367
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/83e03e03-c543-4fe6-b59c-9529de2e2cbe/download
Enhanced Parameter Estimation of DENsity CLUstEring (DENCLUE) Using Differential Evolution
2024 - Published
Ajmal, O., Mumtaz, S., Arshad, H., Soomro, A., Hussain, T., Attar, R. w., Alhomoud, A.
Mathematics, vol. 12, no. 17, 2790
Contributions to Journals: Articles
- [ONLINE] DOI: https://doi.org/10.3390/math12172790
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/ea74ca13-dbf9-4bf2-8d80-06fae8d7afc4/download
A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud
2024 - Published
Arshed, M. a., Mumtaz, S., Gherghina, ?. c., Urooj, N., Ahmed, S., Dewi, C.
Computation, vol. 12, no. 9, 173
Contributions to Journals: Articles
- [ONLINE] https://www.mdpi.com/2079-3197/12/9/173
- [ONLINE] DOI: https://doi.org/10.3390/computation12090173
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/6e67f790-7151-4738-b8df-551436698535/download
Enhancing Weather Scene Identification Using Vision Transformer
2024 - Published
Dewi, C., Arshed, M. A., Christanto, H. J., Rehman, H. A., Muneer, A., Mumtaz, S.
World Electric Vehicle Journal, vol. 15, no. 8, 373
Contributions to Journals: Articles
- [ONLINE] DOI: https://doi.org/10.3390/wevj15080373
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/09e6de1a-da9e-4894-818f-4c7ac0e9579a/download

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Corrigendum to “A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses” [J. Biomed. Inform. 2025 Feb;162:104771. https://doi.org/10.1016/j.jbi.2024.104771. Epub 2025 Jan 2. PMID: 39755323]

Corrigendum to “A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses”. (Journal of Biomedical Informatics (2025) 162, (S1532046424001898), (10.1016/j.jbi.2024.104771))

Conversion of sensitive data to Observational Medical Outcomes Partnership Common Data Model: Protocol for the development and use of Carrot

A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses

A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project

Robust Parameter Optimisation of Noise-Tolerant Clustering for DENCLUE Using Differential Evolution

Enhanced Parameter Estimation of DENsity CLUstEring (DENCLUE) Using Differential Evolution

A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud

Enhancing Weather Scene Identification Using Vision Transformer

Refine

Chapters in Books, Reports and Conference Proceedings

Contributions to Journals

Working Papers