Refine
Has Fulltext
- yes (5)
Document Type
- Journal article (5)
Language
- English (1)
- French (1)
- Italian (1)
- Multiple languages (1)
- Spanish (1)
Keywords
- ARDS (1)
- Beauzée (1)
- COVID-19 (1)
- Eco, Umberto : Il nome della rosa (1)
- Encyclopédie (1)
- Interview (1)
- Jaucourt (1)
- Karriere (1)
- Lumières (1)
- Mehrsprachigkeit (1)
Institute
EU-Project number / Contract (GA) number
- 101015930 (1)
Background
Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes.
Methods
A Germany-wide electronic registry was established to pseudonymously collect admission, therapeutic and discharge information of SARS-CoV-2 ICU patients retrospectively and prospectively. Machine learning approaches were evaluated for the accuracy and interpretability of predictions. The Explainable Boosting Machine approach was selected as the most suitable method. Individual, non-linear shape functions for predictive parameters and parameter interactions are reported.
Results
1039 patients were included in the Explainable Boosting Machine model, 596 patients retrospectively collected, and 443 patients prospectively collected. The model for prediction of general ICU outcome was shown to be more reliable to predict “survival”. Age, inflammatory and thrombotic activity, and severity of ARDS at ICU admission were shown to be predictive of ICU survival. Patients’ age, pulmonary dysfunction and transfer from an external institution were predictors for ECMO therapy. The interaction of patient age with D-dimer levels on admission and creatinine levels with SOFA score without GCS were predictors for renal replacement therapy.
Conclusions
Using Explainable Boosting Machine analysis, we confirmed and weighed previously reported and identified novel predictors for outcome in critically ill COVID-19 patients. Using this strategy, predictive modeling of COVID-19 ICU patient outcomes can be performed overcoming the limitations of linear regression models.
Trial registration “ClinicalTrials” (clinicaltrials.gov) under NCT04455451.
This article deals with the outstanding linguistic character of Salvatore in Umberto Eco’s novel Il nome della rosa. The first section is a critical review on problems and potentials of linguistic analyses of fictional texts, especially of those which have been written in uncommon or inexistent languages. The text-based analysis of Salvatore’s polyglot idiolect shows that this is more than a simple and confused mixture of Latin, German, and some Romance dialects and languages. Based on the linguistic concepts of intertextuality, frame-dependent text styles, and diaphasic variety several language choices in Salvatore may be explained in a new way. The analysis of four concrete text fragments also envisions the possibilities of a deeper comprehension of Salvatore’s utterances through attentive context reading.
The normative use of past tenses is supposed to be a big challenge for learners of Spanish. Although they might understand the grammatical chapter in theory, adequate past tense use in spontaneous oral production is not guaranteed. Morphological errors, overgeneralizations of tenses and interferences with other languages characterize the interlanguage of the learners. Based on two corpuses, we analyse how the past tense use differs between secondary school students from Austria and Romance polyglots. Qualitative and quantitative analyses show that polyglot speakers surpass the secondary school students in some areas such as the distinction of verbal aspect. However, the students tend less to use the perfecto compuesto in an inadequate way in narration.
The two articles of «Langage» and «Langue», published in 1765 in the 9th volume of the great French Encyclopédie by Diderot and D’Alembert, treat some essential philosophical questions on the human ability of communication with linguistic signs. Nevertheless, as the two authors Jaucourt and Beauzée did not share completely identic points of view, the comparative lecture of both articles reveals a complementary perspective, particularly relating to the origin of language as a divine gift or humans’ creation for communicative needs. A further aspect of divergence concerns the textual composition of the article « Langage » as a structured informative text, and the article « Langue » as a long and freely composed writing including personal remarks by the author. The following article deals with the potential of approaches to the Encyclopédie in modern linguistics, concretely demonstrated in the comparative analysis of these two articles.