Im Projekt Dynamics of Mental Health of Migrants (DMHM) analysiert das Team um Theresa Entringer die Zusammenhänge von Migration und psychischer Gesundheit mit weltweiten Daten. Die gewonnenen Ergebnisse sollen die wissenschaftlichen Grundlagen schaffen, um weltweit Public-Health-Initiativen dabei zu unterstützen, effektive Präventionsarbeit zu leisten sowie adäquate und effizientere...
Theoretical models of acculturative stress predict the psychological impacts of adaptation to a new culture and the important role these impacts play in the development of migrants’ mental health. This development is shaped by both stressors and resilience factors within the context of the host country’s migration regime. Personality characteristics and family relations are two crucial factors in...
In the run-up to the European elections in May 2019, the European Commission is trying to advance the initiatives laid out in its action plan for a European Capital Markets Union (CMU). In order to diversify financing sources and to increase private risk sharing, the CMU aims at deepening the integration of European equity and debt markets. While there are benefits associated with more cross-border ...
Improving physicians’ prescription practices is a primary strategy for countering the rise in resistance to antibiotics. This would prevent physicians from incorrectly prescribing antibiotics, one of the main causes of antibiotic resistance. The increasing availability of medical data and methods of machine learning provide an opportunity to generate instant diagnoses. In the present study, the example ...
by Michael Ribers and Hannes Ullrich Improving physicians’ prescription practices is a primary strategy for countering the rise in resistance to antibiotics. This would prevent physicians from incorrectly prescribing antibiotics, one of the main causes of antibiotic resistance. The increasing availability of medical data and methods of machine learning provide an opportunity to generate ...
Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading cause of antibiotic resistance. We combine administrative and microbiological laboratory data from Denmark to train a machine learning algorithm predicting bacterial causes of urinary tract infections. Based on predictions, we develop policies to improve ...
The European Union has set out to reduce the carbon intensity of its electricity generation substantially, as defined in the European Roadmap 2050. This paper analyses the impact of foresight towards decarbonization targets on the investment decisions in the European electricity sector using a specific model developed by the authors called dynELMOD. Incorporating the climate targets makes the investment ...
Studie am DIW Berlin zeigt: Systematische Analyse umfassender Patientendaten mit einem Algorithmus hilft, Antibiotika bei Harnwegsinfektionen gezielter zu verschreiben – Breiterer Einsatz von Künstlicher Intelligenz im deutschen Gesundheitssystem mit Potential, aber durch dezentrale Struktur erschwert Setzt man maschinelles Lernen, ein zentrales Element der Künstlichen Intelligenz ...
Herr Ullrich, Sie haben am Beispiel von Antibiotikaverschreibungen in Dänemark untersucht, wie datenbasierte Vorhersagen helfen können Antibiotikaresistenzen einzudämmen. Warum haben Sie diese Untersuchung mit Daten aus Dänemark gemacht? Wir konnten diese Studien in Dänemark machen, weil dort insbesondere das Gesundheitssystem eine zentralisierte Datenverarbeitung nutzt. ...
