Ms Jane Lyons

Uchafbwyntiau Ymchwil

1. Lacey, A., Lyons, J., Akbari, A., Turner, S., Walters, A., Fonferko-Shadrach, B., Pickrell, O., Rees, M., Lyons, R., Ford, D., & Middleton, R. (2017). Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters. International Journal for Population Data Science, 1(1)

   https://doi.org/10.23889/ijpds.v1i1.354, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39437
2. Torabi, F., Akbari, A., Lyons, J., Castagnet, M., & Lyons, R. (2018). A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing.. International Journal of Population Data Science, 3(2)

   https://doi.org/10.23889/ijpds.v3i2.496, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43464
3. Torabi, F., Lyons, J., Lyons, R., & Akbari, A. (2017). ARCH Data Analysis Report

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44547
4. Lyons, J., Mizen, A., Rodgers, S., Berridge, D., Akbari, A., Wilkinson, P., Milojevic, A., Doherty, R., Dearden, L., Lake, I., Carruthers, D., Strickland, S., Mavrogianni, A., Davies, G., Lyons, J., Davies, G., McNarry, M., Lewis, M., Stratton, G., & Mackintosh, K. (2018). Cognitive development Respiratory Tract Illness and Effects of eXposure (CORTEX) project: Data processing challenges in combining high spatial resolution pollution level data with individual level health and education data. International Journal of Population Data Science, 3(2)

   https://doi.org/10.23889/ijpds.v3i2.534, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52948
5. Harper, G., Lyons, J., Fry, R., Akbari, A., Ahmed, Z., Lyons, R., Dezateux, C., & Robson, J. (2019). Quantifying multi-morbidity in an ethnically-diverse inner city population: the health burden of households. In International Journal of Population Data ScienceSwansea University.

   https://doi.org/10.23889/ijpds.v4i3.1289, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53656
6. Mizen, A., Lyons, J., Milojevic, A., Doherty, R., Wilkinson, P., Carruthers, D., Akbari, A., Lake, I., Davies, G., Al Sallakh, M., Fry, R., Dearden, L., & Rodgers, S. (2020). Impact of air pollution on educational attainment for respiratory health treated students: A cross sectional data linkage study. Health & Place, 63, 102355

   https://doi.org/10.1016/j.healthplace.2020.102355, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54251

   http://dx.doi.org/10.1016/j.healthplace.2020.102355
7. Hollinghurst, J., Lyons, J., Fry, R., Akbari, A., Gravenor, M., Watkins, A., Verity, F., & Lyons, R. (2021). The impact of COVID-19 on adjusted mortality risk in care homes for older adults in Wales, UK: a retrospective population-based cohort study for mortality in 2016–2020. Age and Ageing, 50(1), 25-31.

   https://doi.org/10.1093/ageing/afaa207, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55264
8. Lyons, J., Akbari, A., Torabi, F., Davies, G., North, L., Griffiths, R., Bailey, R., Hollinghurst, J., Fry, R., Turner, S., Thompson, D., Rafferty, J., Mizen, A., Orton, C., Ellwood-Thompson, S., Au-Yeung, L., Cross, L., Gravenor, M., Brophy, S...., & Lyons, R. (2020). Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions. BMJ Open, 10(10), e043010

   https://doi.org/10.1136/bmjopen-2020-043010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55501
9. Lyons, J., Agrawal, U., Harper, G., Akbari, A., Bailey, R., Fry, R., Rafferty, J., Watkins, A., Robson, J., Dezateux, C., McCowan, C., & Lyons, R. (2020). Identifying Patterns of Comorbidities with Cancers of the Colon and Rectum, as Related to age at Diagnosis. In International Journal of Population Data ScienceSwansea University.

   https://doi.org/10.23889/ijpds.v5i5.1430, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55873
10. Lyons, J., Akbari, A., Agrawal, U., Harper, G., Azcoaga-Lorenzo, A., Bailey, R., Rafferty, J., Watkins, A., Fry, R., McCowan, C., Dezateux, C., Robson, J., Peek, N., Holmes, C., Owen, R., Owen, R., Abrams, K., John, A., O'Reilly, D...., & Lyons, R. (2021). Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity. BMJ Open, 11(1), e047101

    https://doi.org/10.1136/bmjopen-2020-047101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56103
11. Thompson, D., Abbasizanjani, H., Fry, R., Marchant, E., Griffiths, L., Akbari, A., Hollinghurst, J., North, L., Lyons, J., Torabi, F., Davies, G., Gravenor, M., & Lyons, R. (2021). Staff-Pupil SARS-CoV-2 Infection Pathways in Schools: A Population Level Linked Data Approach. medRxiv

    https://doi.org/10.1101/2021.02.04.21251087, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56212
12. Torabi, F., Akbari, A., North, L., Harris, D., Davies, G., Gravenor, M., Griffiths, R., Lyons, J., Jenkins, N., Morris, A., Halcox, J., & Lyons, R. (2021). Evaluating the effect of COVID-19 on dispensing patterns: a national cohort analysis. Research Square Preprint

    https://doi.org/10.21203/rs.3.rs-233848/v1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56571
13. Akbari, A., Lyons, J., Gabbe, B., Rawlinson, D., Lockey, D., Fry, R., & Lyons, R. (2021). Impact of a physician – critical care practitioner pre‐hospital service in Wales on trauma survival: a retrospective analysis of linked registry data. Anaesthesia, 76(11)

    https://doi.org/10.1111/anae.15457, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56616
14. Thompson, D., Abbasizanjani, H., Fry, R., Marchant, E., Griffiths, L., Akbari, A., Hollinghurst, J., North, L., Lyons, J., Torabi, F., Davies, G., Gravenor, M., & Lyons, R. (2021). Staff–pupil SARS-CoV-2 infection pathways in schools in Wales: a population-level linked data approach. BMJ Paediatrics Open, 5(1), e001049

    https://doi.org/10.1136/bmjpo-2021-001049, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56848
15. Rafferty, J., Watkins, A., Lyons, J., Lyons, R., Akbari, A., Peek, N., Jalali-najafabadi, F., Dhafari, T., Pate, A., Martin, G., & Bailey, R. (2021). Ranking sets of morbidities using hypergraph centrality. Journal of Biomedical Informatics, 122, 103916

    https://doi.org/10.1016/j.jbi.2021.103916, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57958
16. Dipnall, J., Rivara, F., Lyons, R., Ameratunga, S., Brussoni, M., Lecky, F., Bradley, C., Beck, B., Lyons, J., Schneeberg, A., Harrison, J., & Gabbe, B. (2021). Health-Related Quality of Life (HRQoL) Outcomes Following Injury in Childhood and Adolescence Using EuroQol (EQ-5D) Responses with Pooled Longitudinal Data. International Journal of Environmental Research and Public Health, 18(19), 10156

    https://doi.org/10.3390/ijerph181910156, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58149
17. Dale, C., Takhar, R., Carragher, R., Torabi, F., Katsoulis, M., Duffield, S., Kent, S., Mueller, T., Kurdi, A., McTaggart, S., Abbasizanjani, H., Hollings, S., Scourfield, A., Lyons, R., Griffiths, R., Lyons, J., Davies, G., Harris, D., Handy, A...., & Sofat, R. (2022). The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale analysis of trends in medication data. medRxiv

    https://doi.org/10.1101/2021.12.31.21268587, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59095
18. Bedston, S., Akbari, A., Jarvis, C., Lowthian, E., Torabi, F., North, L., Lyons, J., Perry, M., Griffiths, L., Owen, R., Beggs, J., Chuter, A., Bradley, D., Lusignan, S., Fry, R., Hobbs, F., Hollinghurst, J., Katikireddi, S., Murphy, S...., & Lyons, R. (2022). COVID-19 vaccine uptake, effectiveness, and waning in 82,959 health care workers: A national prospective cohort study in Wales. Vaccine, 40(8), 1180-1189.

    https://doi.org/10.1016/j.vaccine.2021.11.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59218
19. Best, V., Akbari, A., Bedston, S., Davies, G., Lowthian, E., Lyons, J., Torabi, F., & Lyons, R. (2022). Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59295

    https://www.adruk.org/news-publications/publications-reports/informing-better-use-of-welsh-hospital-admissions-data-in-the-sail-databank/
20. Vasileiou, E., Shi, T., Kerr, S., Robertson, C., Joy, M., Tsang, R., McGagh, D., Williams, J., Hobbs, R., Lusignan, S., Bradley, D., OReilly, D., Murphy, S., Chuter, A., Beggs, J., Ford, D., Orton, C., Akbari, A., Bedston, S...., & Sheikh, A. (2022). Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data. BMJ Open, 12(2), e050062.

    https://doi.org/10.1136/bmjopen-2021-050062, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59406

    http://dx.doi.org/10.1136/bmjopen-2021-050062
21. Lyons, J., Nafilyan, V., Akbari, A., Davies, G., Griffiths, R., Harrison, E., Hippisley-Cox, J., Hollinghurst, J., Khunti, K., North, L., Sheikh, A., Torabi, F., & Lyons, R. (2022). Validating the QCOVID risk prediction algorithm for risk of mortality from COVID-19 in the adult population in Wales, UK.. International Journal of Population Data Science, 5(4)

    https://doi.org/10.23889/ijpds.v5i4.1697, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59436
22. Owen, R., Lyons, J., Akbari, A., Guthrie, B., Agrawal, U., Alexander, D., Azcoaga-Lorenzo, A., Brookes, A., Denaxas, S., Dezateux, C., Fagbamigbe, A., Harper, G., Kirk, P., Özyiğit, E., Richardson, S., Staniszewska, S., McCowan, C., Lyons, R., & Abrams, K. (2022). Temporal sequencing in multimorbidity using population-scale linked data for 1.7 million individuals with 20-year follow-up. Research Square

    https://doi.org/10.21203/rs.3.rs-1537576/v1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59879
23. Greene, G., Griffiths, R., Han, J., Akbari, A., Jones, M., Lyons, J., Lyons, R., Rolles, M., Torabi, F., Warlow, J., Morris, E., Lawler, M., & Huws, D. (2022). Impact of the SARS-CoV-2 pandemic on female breast, colorectal and non-small cell lung cancer incidence, stage and healthcare pathway to diagnosis during 2020 in Wales, UK, using a national cancer clinical record system. British Journal of Cancer, 127(3), 558-568.

    https://doi.org/10.1038/s41416-022-01830-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59944
24. Torabi, F., Akbari, A., Bedston, S., Davies, G., Abbasizanjani, H., Gravenor, M., Griffiths, R., Harris, D., Jenkins, N., Lyons, J., Morris, A., North, L., Halcox, J., & Lyons, R. (2022). Impact of COVID-19 pandemic on community medication dispensing: a national cohort analysis in Wales, UK. International Journal of Population Data Science, 5(4)

    https://doi.org/10.23889/ijpds.v5i4.1715, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59976
25. Hollinghurst, J., North, L., Szakmany, T., Pugh, R., Davies, G., Sivakumaran, S., Jarvis, R., Rolles, M., Pickrell, O., Akbari, A., Davies, G., Griffiths, R., Lyons, J., Torabi, F., Fry, R., Gravenor, M., & Lyons, R. (2022). SARS-CoV-2 infection risk among 77,587 healthcare workers: a national observational longitudinal cohort study in Wales, United Kingdom, April to November 2020. Journal of the Royal Society of Medicine, 115(12), 014107682211071

    https://doi.org/10.1177/01410768221107119, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60146
26. Evans, B., Akbari, A., Bailey, R., Bethell, L., Bufton, S., Carson-Stevens, A., Dixon, L., Edwards, A., John, A., Jolles, S., Kingston, M., Lyons, J., Lyons, R., Porter, A., Sewell, B., Thornton, C., Watkins, A., Whiffen, T., & Snooks, H. (2022). Evaluation of the shielding initiative in Wales (EVITE Immunity): protocol for a quasiexperimental study. BMJ Open, 12(9), e059813

    https://doi.org/10.1136/bmjopen-2021-059813, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60455
27. Rafferty, J., Lee, A., Bennett, E., Lyons, J., Jalali-Najafabadi, F., Dhafari, T., Watkins, A., Pate, A., Martin, G., Akbari, A., Peek, N., & Bailey, R. (2022). Analysis of disease clusters and patient outcomes in people with multiple long term conditions using hypergraphs.. In International Journal of Population Data ScienceSwansea University.

    https://doi.org/10.23889/ijpds.v7i3.2028, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61238
28. Akbari, A., Bedston, S., Abbasizanjani, H., Davies, G., Fry, R., Lowthian, E., Lyons, J., Owen, R., Torabi, F., Khunti, K., & Lyons, R. (2022). Developing a population-scale harmonised ethnicity-spine in Wales.. In International Journal of Population Data ScienceSwansea University.

    https://doi.org/10.23889/ijpds.v7i3.1930, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61240
29. Owen, R., Lyons, J., Akbari, A., Davies, G., Griffiths, R., Torabi, F., & Lyons, R. (2022). Direct and indirect effects of the COVID-19 pandemic on mortality: an individual-level population-scale analysis.. International Journal of Population Data Science, 7(3)

    https://doi.org/10.23889/ijpds.v7i3.1922, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61241
30. Han, J., Akbari, A., Torabi, F., Griffiths, R., Lyons, J., Rolles, M., Arnold, C., Huws, D., Lawler, M., & Lyons, R. (2022). Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.. In International Journal of Population Data ScienceSwansea University.

    https://doi.org/10.23889/ijpds.v7i3.2108, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61246
31. Torabi, F., Bedston, S., Lowthian, E., Akbari, A., Owen, R., Bradley, D., Agrawal, U., Collins, P., Fry, R., Griffiths, L., Beggs, J., Davies, G., Hollinghurst, J., Lyons, J., Abbasizanjani, H., Cottrell, S., Perry, M., Roberts, R., Azcoaga-Lorenzo, A...., & Lyons, R. (2022). Risk of thrombocytopenic, haemorrhagic and thromboembolic disorders following COVID-19 vaccination and positive test: a self-controlled case series analysis in Wales. Scientific Reports, 12(1)

    https://doi.org/10.1038/s41598-022-20118-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61394
32. Ohaeri, C., Thomas, D., Salmon, J., Cottrell, S., Lyons, J., Akbari, A., Lyons, R., Torabi, F., Davies, G., & Williams, C. (2022). Comparative risk of cerebral venous sinus thrombosis (CVST) following COVID-19 vaccination or infection: A national cohort study using linked electronic health records. Human Vaccines and Immunotherapeutics, 18(6)

    https://doi.org/10.1080/21645515.2022.2127572, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61672
33. Akbari, A., Torabi, F., Bedston, S., Lowthian, E., Abbasizanjani, H., Fry, R., Lyons, J., Owen, R., Khunti, K., & Lyons, R. (n.d.) Developing a research ready population-scale linked data ethnicity-spine in Wales. medRxiv

    https://doi.org/10.1101/2022.11.28.22282810, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62091
34. Owen, R., Lyons, J., Akbari, A., Lyons, R., & Abrams, K. (2022). RWD115 Modelling the Effect of Multi-Indication Treatment in Patients With Multimorbidity Using Population-Scale Linked Electronic Health Records for Healthcare Policy and Decision-Making. Value in Health, 25(12), S471

    https://doi.org/10.1016/j.jval.2022.09.2340, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62208
35. Bedston, S., Lowthian, E., Jarvis, C., Akbari, A., Beggs, J., Bradley, D., Lusignan, S., Griffiths, R., Herbert, L., Hobbs, R., Kerr, S., Lyons, J., Midgley, W., Owen, R., Quint, J., Tsang, R., Torabi, F., Sheikh, A., & Lyons, R. (2023). COVID-19 booster vaccination uptake and infection breakthrough amongst health care workers in Wales: A national prospective cohort study. Vaccine, 41(7), 1378-1389.

    https://doi.org/10.1016/j.vaccine.2023.01.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62336
36. Abbasizanjani, H., Torabi, F., Bedston, S., Bolton, T., Davies, G., Denaxas, S., Griffiths, R., Herbert, L., Hollings, S., Keene, S., Khunti, K., Lowthian, E., Lyons, J., Mizani, M., Nolan, J., Sudlow, C., Walker, V., Whiteley, W., Wood, A...., & Consortium), . (2023). Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics and Decision Making, 23(1)

    https://doi.org/10.1186/s12911-022-02093-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62338
37. Dale, C., Takhar, R., Carragher, R., Katsoulis, M., Torabi, F., Duffield, S., Kent, S., Mueller, T., Kurdi, A., Anh, T., McTaggart, S., Abbasizanjani, H., Hollings, S., Scourfield, A., Lyons, R., Griffiths, R., Lyons, J., Davies, G., Harris, D...., & Consortium), . (2023). The impact of the COVID-19 pandemic on cardiovascular disease prevention and management. Nature Medicine, 29(1), 219-225.

    https://doi.org/10.1038/s41591-022-02158-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62383
38. Snooks, H., Watkins, A., Lyons, J., Akbari, A., Bailey, R., Bethell, L., Carson-Stevens, A., Edwards, A., Emery, H., Evans, B., Jolles, S., John, A., Kingston, M., Porter, A., Sewell, B., Williams, V., & Lyons, R. (2023). Did the UK's public health shielding policy protect the clinically extremely vulnerable during the COVID-19 pandemic in Wales? Results of EVITE Immunity, a linked data retrospective study. Public Health, 218, 12-20.

    https://doi.org/10.1016/j.puhe.2023.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62664
39. Lyons, J., Nafilyan, V., Akbari, A., Bedston, S., Harrison, E., Hayward, A., Hippisley-Cox, J., Kee, F., Khunti, K., Rahman, S., Sheikh, A., Torabi, F., & Lyons, R. (2023). An external validation of the QCOVID3 risk prediction algorithm for risk of hospitalisation and death from COVID-19: An observational, prospective cohort study of 1.66m vaccinated adults in Wales, UK. PLOS ONE, 18(5), e0285979

    https://doi.org/10.1371/journal.pone.0285979, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63512

    http://dx.doi.org/10.1371/journal.pone.0285979
40. Owen, R., Lyons, J., Akbari, A., Guthrie, B., Agrawal, U., Alexander, D., Azcoaga-Lorenzo, A., Brookes, A., Denaxas, S., Dezateux, C., Fagbamigbe, A., Harper, G., Kirk, P., Özyiğit, E., Richardson, S., Staniszewska, S., McCowan, C., Lyons, R., & Abrams, K. (2023). Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data. The Lancet Public Health, 8(7), e535-e545.

    https://doi.org/10.1016/s2468-2667(23)00098-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63756

    http://dx.doi.org/10.1016/s2468-2667(23)00098-1
41. Lyons, J., Akbari, A., Abrams, K., Lorenzo, A., Dhafari, T., Chess, J., Denaxas, S., Fry, R., Gale, C., Gallacher, J., Griffiths, L., Guthrie, B., Hall, M., Jalali-najafabadi, F., John, A., MacRae, C., McCowan, C., Peek, N., O’Reilly, D...., & Owen, R. (2023). Trajectories in chronic disease accrual and mortality across the lifespan in Wales, UK (2005–2019), by area deprivation profile: linked electronic health records cohort study on 965,905 individuals. The Lancet Regional Health - Europe, 32, 100687

    https://doi.org/10.1016/j.lanepe.2023.100687, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63905

    http://dx.doi.org/10.1016/j.lanepe.2023.100687
42. Han, J., Rolles, M., Torabi, F., Griffiths, R., Bedston, S., Akbari, A., Burnett, B., Lyons, J., Greene, G., Thomas, R., Long, T., Arnold, C., Huws, D., Lawler, M., & Lyons, R. (2023). The impact of the COVID-19 pandemic on community prescription of opioid and antineuropathic analgesics for cancer patients in Wales, UK. Supportive Care in Cancer, 31(9)

    https://doi.org/10.1007/s00520-023-07944-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64135

    http://dx.doi.org/10.1007/s00520-023-07944-8
43. Dhafari, T., Pate, A., Azadbakht, N., Bailey, R., Rafferty, J., Jalali-najafabadi, F., Martin, G., Hassaine, A., Akbari, A., Lyons, J., Watkins, A., Lyons, R., & Peek, N. (2024). A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods. Journal of Clinical Epidemiology, 165, 111214

    https://doi.org/10.1016/j.jclinepi.2023.11.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65170

    http://dx.doi.org/10.1016/j.jclinepi.2023.11.004
44. Fagbamigbe, A., Agrawal, U., Azcoaga-Lorenzo, A., MacKerron, B., Özyiğit, E., Alexander, D., Akbari, A., Owen, R., Lyons, J., Lyons, R., Denaxas, S., Kirk, P., Miller, A., Harper, G., Dezateux, C., Brookes, A., Richardson, S., Nirantharakumar, K., Guthrie, B...., & McCowan, C. (2023). Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. PLOS ONE, 18(11), e0294666

    https://doi.org/10.1371/journal.pone.0294666, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65255
45. Rafferty, J., Lee, A., Lyons, R., Akbari, A., Peek, N., Jalali-najafabadi, F., Dhafari, T., Lyons, J., Watkins, A., Bailey, R., & Lee, A. (2023). Using hypergraphs to quantify importance of sets of diseases by healthcare resource utilisation: A retrospective cohort study. PLOS ONE, 18(12), e0295300

    https://doi.org/10.1371/journal.pone.0295300, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65335

    http://dx.doi.org/10.1371/journal.pone.0295300

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