Dr Philippa McCabe
School of Computer Science and Mathematics
Faculty of Engineering and Technology
Email: P.G.McCabe@ljmu.ac.uk
I am a Research Assistant at Liverpool John Moores University. My research interests include statistics and machine learning applied to healthcare and how student experiences can inform teaching practice, within the School of Computer Science and Mathematics. I obtained my PhD in Applied Mathematics from Liverpool John Moores University in 2022, and a first-class BSc (Hons) in Mathematics in 2017.
My PhD looked at Osteoarthritis and machine learning as part of the OActive Project.
Part of the Data Science Research Centre.
Degrees
2022, Liverpool John Moores University, United Kingdom, PhD
2018, Liverpool John Moores University, United Kingdom, Data Science MSc
2017, Liverpool John Moores University, United Kingdom, Mathematics BSc
Academic appointments
Senior Lecturer in Biostatistics, Pharmacy and Biomolecular Sciences, Liverpool John Moores University, 2023 - present
Research Assistant, Liverpool John Moores University, 2022 - 2023
Sessional Lecturer, Liverpool John Moores University, 2021 - 2022
Teaching Support Officer, Liverpool John Moores University, 2020 - 2021
Highlighted publications
McCabe PG, Lisboa P, Baltzopoulos V, Olier I. 2022. Externally validated models for first diagnosis and risk of progression of knee osteoarthritis. PloS one, 17 DOI Author Url Publisher Url Public Url
Journal article
Cox C, Yates J, O'Brien F, Pajon Moreno L, Farrell A, Ward M, McCabe P, James A, McNamara-Catalano I. 2024. Wearable Technology: A Wellbeing Option for Serving Police Officers and Staff? A Comparison of Results of a Pilot Study with Firearms Officers and a Group of Mixed Officers and Staff International Journal of Environmental Research and Public Health, 21 :1-17 DOI Author Url Publisher Url Public Url
McCloskey AP, Malabar L, McCabe PG, Gitsham A, Jarman I. 2023. Antibiotic prescribing trends in primary care 2014–2022 Research in Social and Administrative Pharmacy, DOI Author Url Publisher Url Public Url
McCloskey AP, Lunn A, Traynor MJ, Lim EJ, Tse Y, McCabe PG, Mistry RD, Vasey N, Pickering A, Rathbone AP. 2023. KidzMed e-learning to upskill student pharmacists to teach pill swallowing to children Peña-Fernández A. PLoS One, 18 DOI Author Url Publisher Url Public Url
McCabe PG, Lisboa P, Baltzopoulos V, Olier I. 2022. Externally validated models for first diagnosis and risk of progression of knee osteoarthritis. PloS one, 17 DOI Author Url Publisher Url Public Url
Jarman I, Ashworth E, McCabe P, McCarthy M, Provazza S, crosbie V, Quigg Z, Saini P. Suicidal Crisis among Children and Young People: Associations with Adverse Childhood Experiences and Socio-Demographic Factors International Journal of Environmental Research and Public Health, DOI Author Url Publisher Url Public Url
Dataset
McCloskey A, Lunn A, Traynor M, Lim E, Tse Y, McCabe P, Mistry R, Vasey N, Pickering A, Rathbone A. 2023. KidzMed E-learning to upskill student pharmacists to teach pill swallowing to children questionnaire data DOI Public Url
Thesis/Dissertation
McCabe P. 2022. Diagnostic and Predictive Modelling in Osteoarthritis using Statistical and Machine Learning Tools Lisboa P, Olier-Caparroso I, Baltzopoulos V. Public Url
Chapters
McCabe PG, Olier I, Ortega-Martorell S, Jarman I, Baltzopoulos V, Lisboa P. 2019. Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis Yin H, Camacho D, Tino P, TallonBallesteros AJ, Menezes R, Allmendinger R. 11872 :114-122 SPRINGER INTERNATIONAL PUBLISHING AG 978-3-030-33616-5 DOI Author Url Publisher Url
Conference publication
McCabe P, Ortega Martorell S, Olier-Caparroso I. Benchmarking multi-task learning in predictive models for drug discovery International Joint Conference on Neural Networks (IJCNN) DOI Author Url Publisher Url
Conference presentation:
Are we on track to meet U.K. AMS targets in England?, Letters in Applied Microbiology ECS Research Symposium, Belfast, Poster presentation. 2023
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis., International Conference on Intelligent Data Engineering and Automated Learning, Manchester, UK, Oral presentation. 2019
Benchmarking multi-task learning in predictive models for drug discovery., International Joint Conference on Neural Networks, Budapest, Hungary, Oral presentation. 2019