[{"series_title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","publication":"Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings","publication_status":"published","research_group":[{"name":"CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie","_id":"f025f82c-c221-11ec-90a2-d82e18d06cb8"}],"publication_identifier":{"issn":["1867-8211"],"isbn":["978-3-031-59716-9"],"eissn":["1867-822X"],"eisbn":["978-3-031-59717-6"]},"type":"conference","project":[{"name":"Institut für Systemdynamik und Mechatronik","_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b"}],"user_id":"224375","title":"Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data","date_created":"2024-06-05T11:41:26Z","quality_controlled":"1","year":"2024","editor":[{"last_name":"Salvi","full_name":"Salvi, Dario","first_name":"Dario"},{"first_name":"Pieter","last_name":"Van Gorp","full_name":"Van Gorp, Pieter"},{"first_name":"Syed Ahmar","last_name":"Shah","full_name":"Shah, Syed Ahmar"}],"_id":"4644","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-59717-6_27","page":"423-437","publisher":"Springer Nature Switzerland","date_updated":"2026-03-17T15:29:04Z","place":"Cham","author":[{"last_name":"Klein","full_name":"Klein, Lukas","first_name":"Lukas"},{"first_name":"Christoph","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-1551-3848/work/160986085","id":"250133","orcid":"0000-0003-1551-3848","full_name":"Ostrau, Christoph","last_name":"Ostrau"},{"first_name":"Michael","full_name":"Thies, Michael","last_name":"Thies"},{"first_name":"Wolfram","id":"224375","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/160986087","orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","last_name":"Schenck"},{"first_name":"Ulrich","last_name":"Rückert","full_name":"Rückert, Ulrich"}],"citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Klein, Lukas</span> ; <span style=\"font-variant:small-caps;\">Ostrau, Christoph</span> ; <span style=\"font-variant:small-caps;\">Thies, Michael</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span> ; <span style=\"font-variant:small-caps;\">Rückert, Ulrich</span>: Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: <span style=\"font-variant:small-caps;\">Salvi, D.</span> ; <span style=\"font-variant:small-caps;\">Van Gorp, P.</span> ; <span style=\"font-variant:small-caps;\">Shah, S. A.</span> (Hrsg.): <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i>, <i>Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering</i>. Cham : Springer Nature Switzerland, 2024, S. 423–437","bibtex":"@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={<a href=\"https://doi.org/10.1007/978-3-031-59717-6_27\">10.1007/978-3-031-59717-6_27</a>}, 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} }","apa":"Klein, L., Ostrau, C., Thies, M., Schenck, W., &#38; 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, &#38; S. A. Shah (Eds.), <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i> (pp. 423–437). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-59717-6_27\">https://doi.org/10.1007/978-3-031-59717-6_27</a>","ieee":"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 <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i>, Malmö, Schweden, 2024, pp. 423–437.","mla":"Klein, Lukas, et al. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i>, edited by Dario Salvi et al., Springer Nature Switzerland, 2024, pp. 423–37, doi:<a href=\"https://doi.org/10.1007/978-3-031-59717-6_27\">10.1007/978-3-031-59717-6_27</a>.","ama":"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. <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i>. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland; 2024:423-437. doi:<a href=\"https://doi.org/10.1007/978-3-031-59717-6_27\">10.1007/978-3-031-59717-6_27</a>","chicago":"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 <i>Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings</i>, 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. <a href=\"https://doi.org/10.1007/978-3-031-59717-6_27\">https://doi.org/10.1007/978-3-031-59717-6_27</a>.","short":"L. Klein, C. Ostrau, M. Thies, W. Schenck, U. Rückert, 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, Springer Nature Switzerland, Cham, 2024, pp. 423–437."},"conference":{"name":"17th EAI International Conference, PervasiveHealth","location":"Malmö, Schweden","start_date":"2023-11-27","end_date":"2023-11-29"},"status":"public"}]