Zobrazeno 1 - 10
of 3 120
pro vyhledávání: '"Kägi, A."'
Autor:
Tanya Gurevich, Andrew Evans, Sharon Hassin-Baer, Georg Kägi, Dariusz Koziorowski, Anna Roszmann, Lars Bergmann, Juan Carlos Parra Riaza, Olga Sánchez-Soliño, Jarosław Sławek
Publikováno v:
Digital Health, Vol 10 (2024)
Background Levodopa-carbidopa intestinal gel (LCIG) is a continuously delivered Parkinson's disease therapy intended to stabilize plasma levodopa levels. Patients receiving LCIG require education and follow-up. Some LCIG support programs use video-as
Externí odkaz:
https://doaj.org/article/86eaa7213bce4cf6a840765e28074ca6
Autor:
Stephan Bohlhalter, David Benninger, Deborah Brogle, Florian Hatz, Alain Kaelin-Lang, Jens Carsten Möller, Georg Kägi, Michael Schuepbach
Publikováno v:
Swiss Medical Weekly, Vol 154, Iss 8 (2024)
No abstract available.
Externí odkaz:
https://doaj.org/article/3b49f1ddf4c4477e963d90604ee3fa79
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Autor:
Wunderle, Carla, Suter, Sandra S, Endner, Nele, Haenggi, Eliane, Kaegi-Braun, Nina, Tribolet, Pascal, Stanga, Zeno, Mueller, Beat, Schuetz, Philipp
Publikováno v:
In The American Journal of Clinical Nutrition November 2024 120(5):1225-1232
Autor:
Cellina, Francesca, Gerosa, Tiziano, Granato, Pasquale, Lobsiger-Kägi, Evelyn, Wemyss, Devon, Kienast, Pascal
Publikováno v:
In Sustainable Cities and Society 1 November 2024 114
Autor:
Kuehr, Sebastian, Kaegi, Ralf, Raths, Johannes, Sinnet, Brian, Kipf, Marco, Rehkämper, Mark, Jensen, Karl Andreas, Sperling, Ralph A., Ndungu, Kuria, Georgantzopoulou, Anastasia
Publikováno v:
In Science of the Total Environment 1 November 2024 949
A new recursive construction of $N$-ary error-correcting output code (ECOC) matrices for ensemble classification methods is presented, generalizing the classic doubling construction for binary Hadamard matrices. Given any prime integer $N$, this dete
Externí odkaz:
http://arxiv.org/abs/2110.02161
Autor:
Nguyen, Hieu D., Khan, Mohammed Sarosh, Kaegi, Nicholas, Ho, Shen-Shyang, Moore, Jonathan, Borys, Logan, Lavalva, Lucas
New bounds on classification error rates for the error-correcting output code (ECOC) approach in machine learning are presented. These bounds have exponential decay complexity with respect to codeword length and theoretically validate the effectivene
Externí odkaz:
http://arxiv.org/abs/2109.08967
Publikováno v:
In Geochimica et Cosmochimica Acta 1 June 2024 374:72-84
Autor:
Haenggi, Eliane, Kaegi-Braun, Nina, Wunderle, Carla, Tribolet, Pascal, Mueller, Beat, Stanga, Zeno, Schuetz, Philipp
Publikováno v:
In Clinical Nutrition February 2024 43(2):575-585