Thesis

& 157 ACHTERGROND EN ACADEMISCH WERK List of publications Dijkhuis, T. B., Blaauw, F. J., Van Ittersum, M. W., Velthuijsen, H., & Aiello, M. (2018). Personalized physical activity coaching: a machine learning approach. Sensors, 18(2), 623. Dijkhuis, T. B., Otter, R., Aiello, M., Velthuijsen, H., & Lemmink, K. (2020). Increase in the acute: chronic workload ratio relates to injury risk in competitive runners. International journal of sports medicine, 41(11), 736-743. Dijkhuis, T. B., Kempe, M., & Lemmink, K. A. (2021). Early prediction of physical performance in elite soccer matches—A machine learning approach to support substitutions. Entropy, Data Analytics in Sport Sciences: Changing the Game, 23(8), 952. Dijkhuis, T.B., Blaauw, F.J. (2022). Transferring targeted maximum likelihood estimation for causal inference to sport science. Entropy, Data Analytics in Sport Sciences: Changing the Game. 24(8), 1060 Dijkhuis, T.B., Franke, H.H., Paans, W., Dieperink, W., Groenboom, R.M. (2023) Nutritional status of the ventilated COVID-19 patient in the Intensive Care Unit. (Submitted) Conference papers in combination with presentations Blok, J., Dijkhuis, T., & Dol, A. (2017). Toward a generic personalized virtual coach for self-management: a proposal for an architecture. In 9th International Conference on eHealth, Telemedicine, and Social Medicine 2017. Dijkhuis, T.B., Otter, R., Velthuijsen, H., & Lemmink, K. (2017). Prediction of running injuries from training load: a machine learning approach. In 9th International Conference on eHealth, Telemedicine, and Social Medicine 2017. Best paper award Dijkhuis, T.B., Blok, J., & Velthuijsen, H. (2018). Virtual coach: predict physical activity using a machine learning approach. In 10th International Conference on eHealth, Telemedicine, and Social Medicine 2018. Van Noppen – Kleist, K., Mulder, W, Dijkhuis, T.B., Dam, M.R. (2019) Virtual coach: towards personalized mental support

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