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583 results on '"Green, Anders"'

7. Trends and cyclical variation in the incidence of childhood type 1 diabetes in 26 European centres in the 25 year period 1989–2013: a multicentre prospective registration study

Author

Patterson, Christopher C., Harjutsalo, Valma, Rosenbauer, Joachim, Neu, Andreas, Cinek, Ondrej, Skrivarhaug, Torild, Rami-Merhar, Birgit, Soltesz, Gyula, Svensson, Jannet, Parslow, Roger C., Castell, Conxa, Schoenle, Eugen J., Bingley, Polly J., Dahlquist, Gisela, Jarosz-Chobot, Przemysława K., Marčiulionytė, Dalė, Roche, Edna F., Rothe, Ulrike, Bratina, Natasa, Ionescu-Tirgoviste, Constantin, Weets, Ilse, Kocova, Mirjana, Cherubini, Valentino, Rojnic Putarek, Natasa, deBeaufort, Carine E., Samardzic, Mira, and Green, Anders

Published
2019
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14. A plan to improve global type 1 diabetes epidemiology data

Author

Beran, David, primary, Højlund, Kurt, additional, Besançon, Stéphane, additional, Mundt, Mads Loftager, additional, Ogle, Graham D, additional, Ramaiya, Kaushik, additional, Robinson, Tom, additional, Svensson, Jannet, additional, Tuomilehto, Jaakko, additional, Wild, Sarah, additional, and Green, Anders, additional

Published
2023
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23. The Effect of Different Comorbidities on Survival of Non-small Cells Lung Cancer Patients

Author

Iachina, Maria, Jakobsen, Erik, Møller, Henrik, Lüchtenborg, Margreet, Mellemgaard, Anders, Krasnik, Mark, and Green, Anders

Subjects
Chronic obstructive lung disease -- Research -- Risk factors, Non-small cell lung cancer -- Research -- Risk factors -- Development and progression -- Care and treatment -- Patient outcomes, Health
Abstract

Purpose Primary lung cancer is one of the most common types of cancers. Comorbidity has been shown to be a negative prognostic factor in the overall lung cancer population. The significance of the individual comorbidities is less well known. The purpose of this paper is to investigate the effect of each comorbid disease groups on survival. Methods The analysis is based on all patients with NSCLC who were registered in 2009-2011, in total 10,378 patients. To estimate the effect of each comorbidity group on the survival, we fitted a Cox regression model for each comorbidity group adjusting for age, sex, resection, and stage. Results Patients with cardiovascular comorbidity have a 30 % higher death rate [HR 1.30 with 95 % CI (1.13; 1.49)] than patients without comorbidity. Patients with diabetes and patients with cerebrovascular disorders and COPD have a 20 % excess mortality than patients without comorbidity: [HR 1.19 with CI (1.02; 1.39) for diabetes, HR 1.18 with CI (1.05; 1.33) for cerebrovascular disorders, and HR 1.20 with CI (1.10; 1.39 for COPD)]. Conclusion Our study shows the importance of cardiovascular disease in lung cancer. Diabetes, cerebrovascular disorders, and COPD also have a significant impact on survival of NSCLC patients., Author(s): Maria Iachina[sup.1] [sup.2] , Erik Jakobsen[sup.3] [sup.4] , Henrik Møller[sup.5] , Margreet Lüchtenborg[sup.5] , Anders Mellemgaard[sup.6] , Mark Krasnik[sup.7] , Anders Green[sup.4] Author Affiliations: (1) Center for Clinical Epidemiology, [...]

Published
2015
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41. Team Meetings within Clinical Domains – Exploring the Use of Routines and Technical Support for Communication

Author

Groth, Kristina, Lantz, Ann, Sallnäs, Eva-Lotta, Frykholm, Oscar, Green, Anders, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Gross, Tom, editor, Gulliksen, Jan, editor, Kotzé, Paula, editor, Oestreicher, Lars, editor, Palanque, Philippe, editor, Prates, Raquel Oliveira, editor, and Winckler, Marco, editor

Published
2009
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49. Designing for learnability in human-robot communication

Author

Green, Anders and Eklundh, Kerstin Severinson

Subjects
Robots -- Research, Robot, Business, Computers, Electronics, Electronics and electrical industries
Abstract

In a future scenario where many devices can be controlled using the voice, easy and intuitive access will be crucial for avoiding cognitive overload when users are faced with many different systems and interaction models. We propose a model for interaction with spoken language interfaces applied to heterogeneous tasks for service robots, based on the idea of using a family of lifelike characters. We argue that we can signal important features of the speech interface by using certain visual cues. The aim is to facilitate learning and transfer between interfaces. We discuss challenges for dialogue design affecting learnability in the light of the speech interface constructed for our full-scale robot prototype CERO. Index Terms--Dialogue, human-robot interaction, learning, speech interface, ubiquitous computing.

Published
2003

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