Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data

Klein L, Ostrau C, Thies M, Schenck W, Rückert U. Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi D, Van Gorp P, Shah SA, eds. Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland; 2024:423-437. doi:10.1007/978-3-031-59717-6_27

Klein, L., Ostrau, C., Thies, M., Schenck, W., & Rückert, U. (2024). Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In D. Salvi, P. Van Gorp, & S. A. Shah (Eds.), Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings (pp. 423–437). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-59717-6_27

@inproceedings{Klein_Ostrau_Thies_Schenck_Rückert_2024, place={Cham}, series={Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, title={Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data}, DOI={10.1007/978-3-031-59717-6_27}, booktitle={Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings}, publisher={Springer Nature Switzerland}, author={Klein, Lukas and Ostrau, Christoph and Thies, Michael and Schenck, Wolfram and Rückert, Ulrich}, editor={Salvi, Dario and Van Gorp, Pieter and Shah, Syed AhmarEditors}, year={2024}, pages={423–437}, collection={Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering} }

Klein, Lukas, Christoph Ostrau, Michael Thies, Wolfram Schenck, and Ulrich Rückert. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” In Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi, Pieter Van Gorp, and Syed Ahmar Shah, 423–37. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59717-6_27.

L. Klein, C. Ostrau, M. Thies, W. Schenck, and U. Rückert, “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data,” in Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, Malmö, Schweden, 2024, pp. 423–437.

Klein, Lukas, et al. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi et al., Springer Nature Switzerland, 2024, pp. 423–37, doi:10.1007/978-3-031-59717-6_27.