Bouchmal, S., Goertz, Y. M. J., Hacking, C., Winkens, B., & Aarts, S. (2024). The relation between resident-related factors and care problems in nursing homes: a multi-level analysis. BMC Health Services Research, 24(1), Article 1435. https://doi.org/10.1186/s12913-024-11915-y
Hacking, C., Verbeek, H., Hamers, J. P. H., & Aarts, S. (2023). Comparing text mining and manual coding methods: Analysing interview data on quality of care in long-term care for older adults. PLOS ONE, 18(11), Article e0292578. https://doi.org/10.1371/journal.pone.0292578
Hacking, C., Verbeek, H., Hamers, J. P. H., & Aarts, S. (2023). The development of an automatic speech recognition model using interview data from long-term care for older adults. Journal of the American Medical Informatics Association, 30(3), 411-417. https://doi.org/10.1093/jamia/ocac241
Golz, C., Aarts, S., Hacking, C., Hahn, S., & Zwakhalen, S. M. G. (2022). Health professionals' sentiments towards implemented information technologies in psychiatric hospitals: a text-mining analysis. BMC Health Services Research, 22(1), Article 1426. https://doi.org/10.1186/s12913-022-08823-4
Hacking, C., Verbeek, H., Hamers, J. P. H., Sion, K., & Aarts, S. (2022). Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting. PLOS ONE, 17(8), Article e0268281. https://doi.org/10.1371/journal.pone.0268281