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Article

McGarry, Kenneth (2023) Analyzing Social Media Data using Sentiment Mining and Bi-gram Analysis for the Recommendation of YouTube Videos. Information, 14 (7). ISSN E2078-2489

McGarry, Kenneth, Nelson, David and Ashton, Mark (2020) A method to explore the connectivity patterns of proteins and drugs for identifying disease communities. SN Computer Science, 137. ISSN 2661-8907

McGarry, Kenneth, Ashton, Mark, Gong, Yu and Hosny, Amer (2020) The development of a predictive model to identify potential HIV-1 attachment inhibitors. Computers in Biology and Medicine. ISSN 0010-4825

Khan, Abdul Nabeel, McGarry, Kenneth and Holden, Keith (2020) Doctor’s perceptions, expectations and experiences regarding the role of the Pharmacist in hospital settings of Pakistan. International Journal of Clinical Pharmacy. ISSN 2210-7703

McGarry, Kenneth (2018) Perforated diverticulitis: To anastomose or not to anastomose? A systematic review and meta-analysis. International Journal of Surgery, 58. pp. 11-21. ISSN 1743-9191

McGarry, Kenneth and Daniel, Ukeme (2014) Data Mining Open Source Databases for Drug Repositioning using Graph Based Techniques. Drug Discovery World, 16 (1). pp. 64-71. ISSN 1469-4344

Al-Qerem, Walid, McGarry, Kenneth, Neshat-Omidvaran, Leila and Shamssain, Mohammad (2010) Effects of Traffic Air Pollution on Respiratory Health and Allergies in Schoolchildren. Pediatric Research, 68. p. 134. ISSN 0031-3998

Book Section

McGarry, Kenneth (2022) Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data. In: Artificial Intelligence XXXIX: 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13–15, 2022, Proceedings. Springer Nature, pp. 180-194. ISBN 978-3-031-21440-0

Conference or Workshop Item

Goh, Theng, Ho, Kah, Teow, Yeit and McGarry, Kenneth (2023) Influence of rGO/MWCNTs on antifouling properties of nanocomposite membrane: Statistical analysis. In: INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING AND ADVANCED TECHNOLOGY: ICSEAT, 16–17 Jun 2022, Kota Damansara, Malaysia.

McGarry, Kenneth (2022) Graph theoretic and stochastic block models integrated with matrix factorization for community detection. In: The 21st UK Workshop on Computational Intelligence, 7 - 9 September 2022, University of Sheffield.. (In Press)