Below you can see a summary of publications resulting from Fast Data Science’s recent research activities.
McElroy, E., Wood, T., Bond, R. et al. Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data. BMC Psychiatry 24, 530 (2024). https://doi.org/10.1186/s12888-024-05954-2
Robnik, M & Wood, T. Testing Adiabatic Invariance in Separatrix Crossing. Nonlinear Phenomena in Complex Systems, 2007.
Wood TA and McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Res 2023, 7:56 doi: 10.12688/gatesopenres.14416.1.
McElroy, E., Moltrecht, B., Scopel Hoffmann, M., Wood, T. A., & Ploubidis, G. (2023, January 6). Harmony – A global platform for contextual harmonisation, translation and cooperation in mental health research. Retrieved from osf.io/bct6k (submitted for publication)
Ribary, M., Krause, P., Orban, M., Vaccari, E., Wood, T.A., Prompt Engineering and Provision of Context in Domain Specific Use of GPT, Frontiers in Artificial Intelligence and Applications 379: Legal Knowledge and Information Systems, 2023. https://doi.org/10.3233/FAIA230979
Moltrecht, B., Wood, TA., Scopel Hoffmann, M., McElroy, E., Harmony: a web-tool for retrospective, multilingual harmonisation of questionnaire items using natural language processing. Retrieved from https://psyarxiv.com/zvqbf/ (submitted for publication)
Wood, TA., McNair, D., Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness [version 1; peer review: awaiting peer review], Gates Open Research 2023, 7:56.
Mather, JF, Othman, A, Streit, S, Dumitran, I & Wood, T. System and method for biometric protocol standards. US patent 9838388, 2017.
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