Alzheimer's disease (AD) is a neurodegenerative disorder leading to the development of dementia, and a major cause of morbidity and mortality in the ageing population. In the IHI-PROMINENT project (https://www.ihi-prominent.eu) we will develop prediction models of AD diagnosis and disease progression, based on existing data from Swedish and European health care databases, registries and cohorts. The Swedish Dementia Registry is one of the largest AD databases in the world, with over 100,000 patients followed longitudinally. This registry has been linked to health care resource utilization data, mortality, biomarker and other data. We aim to use the high dimensionality of this dataset to develop novel prediction models of AD diagnosis, and to identify patients at high risk of disease progression. We will also utilize data from the Swedish BPSD registry, including free-text descriptions of care actions and health outcomes that will be analysed with NLP. This is a highly relevant topic as new disease-modifying therapies for AD are being introduced, the first drug was recently recommended for approval by the European Medicines Agency.