Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Heidi Dikow"'
Publikováno v:
BMJ Open, Vol 11, Iss 8 (2021)
Objective To evaluate the impact of drug diversity on treatment effectiveness in relapsing-remitting multiple sclerosis (RRMS) in Germany.Design This study employs real-world data captured in-time during clinical visits in 67 German neurology outpati
Externí odkaz:
https://doaj.org/article/afe5948d03414d9286eeb8737ac5a8ff
Publikováno v:
Fortschritte der Neurologie · Psychiatrie. 88:379-385
Zusammenfassung Anliegen und Methodik Beschreibung der Basisdaten, der häufigsten Symptome und deren medikamentöser, nichtmedikamentöser und kombinierter symptomatischer Behandlung in einer großen Stichprobe von MS-Patienten, die sich in ambulant
Autor:
Knut Wehrle, Viola Tozzi, Stefan Braune, Fabian Roßnagel, Heidi Dikow, Silvia Paddock, Arnfin Bergmann, Philip van Hövell
Publikováno v:
JAMIA open. 5(1)
Objective To implement a dynamic data management and control framework that meets the multiple demands of high data quality, rigorous information technology security, and flexibility to continuously incorporate new methodology for a large disease reg
Autor:
Damiano M. Rovituso, Arnfin Bergmann, Heidi Dikow, Stefanie Kuerten, Tjalf Ziemssen, Paul V. Lehmann, Sabine Tacke, Stefan Braune
Publikováno v:
Neurology® Neuroimmunology & Neuroinflammation
article-version (Version of Record) 3
article-version (Version of Record) 3
ObjectiveWe investigated the predictive value of the enzyme-linked immunospot technique (ELISPOT) in identifying patients with relapsing-remitting multiple sclerosis (RRMS) who will respond to treatment with glatiramer acetate (GA) or interferon-β (
Publikováno v:
Fortschritte der Neurologie-Psychiatrie. 88(6)
Description of basic data, common symptoms and their medical, non-drug and combined symptomatic treatment in a large sample of MS patients undergoing outpatient treatment of the German NeuroTransData (NTD) physician network.Currently there are 21,407
Publikováno v:
Computing
Computing, 2013, pp.1-21. ⟨10.1007/s00607-013-0345-x⟩
Computing, 2013, pp.1-21. ⟨10.1007/s00607-013-0345-x⟩
Digital ecosystems rely on reputation systems in order to build trust and to foster collaborations among users. Reputation systems are commonplace in the Customer-to-Customer and Business-to-Customer contexts, however, they have not yet found mainstr