Publications by authors named "E Steiger"
Background: Chronic kidney disease (CKD) is one of the most significant drivers of the global burden of disease and an increasing public health issue. Adequate monitoring and referral of high-risk patients to nephrologists are associated with improved management of CKD. We aimed to assess nephrology referral rates, monitoring of kidney function, and factors associated with failure to refer in Germany.
View Article and Find Full Text PDFUrban street trees offer cities critical environmental and social benefits. In New York City (NYC), a decadal census of every street tree is conducted to help understand and manage the urban forest. However, it has previously been impossible to analyze growth of an individual tree because of uncertainty in tree location.
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- In health care, diagnosis codes are essential for analyzing patient data, predicting outcomes, and informing decision-making, but existing methods often face challenges like high variability in patient profiles and incomplete data.
- The study introduces Pat2Vec, a novel self-supervised machine learning framework that converts complete diagnosis profiles into compact numerical vectors, enhancing their utility for machine learning applications.
- Using a dataset from over 10 million German patients, the researchers developed and validated an optimal embedding model for diagnosis profiles, comparing its effectiveness against traditional binary encoding methods for improved healthcare analysis.
Background: Health Research Capacity Building (HRCB) is key to improving research production among health workers in LMICs to inform related policies and reduce health disparities in conflict settings. However, few HRCB programmes are available in the MENA region, and few evaluations of HRCB globally are reported in the literature.
Methods: Through a qualitative longitudinal design, we evaluated the first implementation of the Center for Research and Education in the Ecology of War (CREEW) fellowship.