Items where Subject is "Medical science and disease"

Group by: Creators | Date | No Grouping
Jump to: 2016 | 2017 | 2018 | 2020 | 2021 | 2022 | 2023 | 2024
Number of items at this level: 19.

2016

Loades, M., Crawley, E., 2016. Systematic Review of Depression in Paediatric CFS/ME. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00127.

2017

Milo, S., Hathaway, H., Nzakizwanayo, J., Alves, D., Pérez Esteban, P., Jones, B., Jenkins, T., 2017. Dataset for 'Prevention of Encrustation and Blockage of Urinary Catheters by Proteus mirabilis via pH-Triggered Release of Bacteriophage'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00428.

Milo, S., Thet, N., Liu, D., Nzakizwanayo, J., Jones, B., Jenkins, T., 2017. Dataset for 'An in-situ infection detection sensor coating for urinary catheters'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00429.

2018

Carroll, H., 2018. Dataset for "The effect of acute hypohydration on glycemia in healthy adults". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00547.

Fletcher, J., Williams, S., Whitehouse, M., Gill, H., Preatoni, E., 2018. Data for "Juvenile bovine bone is an appropriate surrogate for normal and reduced density human bone in biomechanical testing". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00410.

Milo, S., Acosta, F., Hathaway, H., Wallace, L., Thet, N., Jenkins, T., 2018. Dataset for 'Development of an Infection-Responsive Fluorescent Sensor for the Early Detection of Urinary Catheter Blockage'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00430.

Thet, N., 2018. Dataset for "Development of a mixed-species biofilm model and its virulence implications in device related infections". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00487.

2020

Cookson, A., Odunmbaku-Mansell, D., Fraser, K., Gill, R., Raimondo, A., Domenico, B., 2020. Dataset for "Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00890.

Doekhie, A., Sartbaeva, A., Koumanov, F., Van Den Elsen, J., Edler, K., Wells, S., 2020. Dataset for "Ensilicated tetanus antigen retains immunogenicity: in vivo study and time-resolved SAXS characterization". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00771.

Jones, M., McGrogan, A., Raynor, D., Watson, M., Franklin, B., 2020. Dataset for "User-testing guidelines to improve the safety of intravenous medicines administration: a randomised in-situ simulation study". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00751.

Jones, M., Raynor, D., Watson, M., Dean Franklin, B., 2020. Dataset for "User testing to improve retrieval and comprehension of information in guidelines to improve medicines safety". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00700.

2021

Jones, M., Clarke, J., Feather, C., Franklin, B., Sinha, R., Maconochie, I., Darzi, A., Appelbaum, N., 2021. Dataset for "Use of paediatric injectable medicines guidelines and associated medication administration errors: a human reliability analysis". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00906.

Jones, M., Franklin, B., Raynor, D., Thom, H., Watson, M., Kandiyali, R., 2021. Dataset for "Costs and cost-effectiveness of user-testing of health professionals’ guidelines to reduce the frequency of intravenous medicines administration errors by nurses in the United Kingdom: a probabilistic model based on voriconazole administration". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00960.

2022

Fitzpatrick, I., Byrne, D., Gilmore, A., Hasan, F., Cranwell, J., 2022. Dataset for Quantifying and characterising tobacco content in the most in-demand streamed series in 10 low/middle-income Countries in 2019. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00968.

Fletcher, J., Neumann, V., Silva-Henao, J., Burdon, A., Mys, K., Panagiotopoulou, V., Gueorguiev, B., Richards, R., Whitehouse, M., Preatoni, E., Gill, R., 2022. Dataset for "Augmented screwdrivers can increase the performance of orthopaedic surgeons compared with use of normal screwdrivers". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00956.

Gill, R., Ehrhardt, B., Murphy, E., 2022. Dataset for "Machine learning outperforms clinical experts in classification of hip fractures". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01011.

Wood, H., Ehrlich, K., Yerolatsitis, S., Kufcsák, A., Stone, J., Quinn, T., Fernandes, S., 2022. Dataset for "Tri-mode optical biopsy probe with fluorescence endomicroscopy, Raman spectroscopy, and time resolved fluorescence spectroscopy". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01174.

2023

Paloumpi, E., Ozieranski, P., Watson, M., Jones, M., 2023. Dataset for "The future of community pharmacy in England: policy, stakeholder and public perspectives". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01317.

2024

Jones, M., Liu, S., Powell, F., Samsor, A., Ting Chao Ru, F., Veliotis, N., Wong, Y., Franklin, B., Garfield, S., 2024. Dataset for "Exploring the Role of Guidelines in Contributing to Medication Errors: A Descriptive Analysis of National Patient Safety Incident Data". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01307.

This list was generated on Fri Apr 19 02:16:27 2024 BST.