SURE

Article

Widera, P, Welsing, Paco M.J., Danso, S. O, Peelen, Sjaak, Kloppenburg, Margreet, Loef, Marieke, Marijnissen, Anne C., van Helvoort, Eefje M., Blanco, Franciso J., Magalhães, Joanna, Berenbaum, Francis, Haugen, Ida K., Bay-Jensen, Anne-Christine, Mobasheri, Ali, Ladel, Christoph, Loughlin, John, Lafeber, Floris P.J.G., Lalande, Agnès, Larkin, Jonathan, Weinans, Harrie and Jaume, Baccardit (2023) Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study. Osteoarthritis and Cartilage Open, 5 (4). p. 100406. ISSN 2665-9131

Ritchie, Craig W, Wells, Katie, Gregory, Sarah, Carriere, Isabelle, Danso, Samuel O, Driscoll, David, Dounavi, Maria-Eleni, Hillary, Robert, Koychev, Ivan and Lawlor, Brian (2023) The PREVENT Dementia programme: Baseline demographic, lifestyle, imaging and cognitive data from a midlife cohort study investigating risk factors for dementia. medRxiv.

Danso, Samuel O, Manu, Alexander, Fenty, Justin, Amanga-Etego, Seeba, Avan, Bilal Iqbal, Newton, Sam, Soremekun, Seyi and Kirkwood, Betty (2023) Population cause of death estimation using verbal autopsy methods in large-scale field trials of maternal and child health: lessons learned from a 20-year research collaboration in Central Ghana. Emerging themes in epidemiology, 20 (1). pp. 1-10. ISSN 1742-7622

Danso, Samuel O, Zeng, Zhanhang, Muniz-Terrera, Graciela and Ritchie, Craig W (2021) Developing an explainable machine learning-based personalised dementia risk prediction model: A transfer learning approach with ensemble learning algorithms. Frontiers in big Data, 4. p. 613047. ISSN 2624-909X

Book Section

Danso, Samuel O, Prattipati, Sindhu, Alqatawneh, Ibrahim and Ntailianis, Georgios (2024) Exploration of Machine Learning and Deep Learning Architectures for Dementia Risk Prediction Based on ATN Framework. In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-7. ISBN 979-8-3503-6088-2

Luo, Zeqi and Danso, Samuel O (2024) Exploring Risk Factor Interactions across the Development Stages of Dementia using an Explainable Machine Learning Model. In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6. ISBN 979-8-3503-6088-2

Danso, Samuel O and Luo, Zeqi (2024) Exploring Risk Factor Interactions across the Development Stages of Dementia using an Explainable Machine Learning Model. In: 2024 29th International Conference on Automation and Computing. IEEE. (In Press)

Danso, Samuel O, Prattipati, Sindhu, Alqatawneh, Ibrahim and Ntailianis, Georgios (2024) Exploration of Machine Learning and Deep Learning Architectures for Dementia Risk Prediction Based on ATN Framework. In: 2024 29th International Conference on Automation and Computing. IEEE. (In Press)

Conference or Workshop Item

Butler, Joe, Owobowale, Adewale Samuel, Watermeyer, Tamlyn, Danso, Samuel O and Parra-Rodriguez, Mario (2024) Developing an AI algorithm to detect predictors of poor performance in a self-administered, web-based digital biomarker for Alzheimer’s Disease: proof of concept. In: AAIC 2024: Alzheimer's Association International Conference, 28 Jul - 01 Aug 2024, Philadelphia. (In Press)