INTRODUCTION: Recent advances in machine learning provide new possibilities to process and analyse observational patient data to predict patient outcomes. In this paper, we introduce a data processing pipeline for cardiogenic shock (CS) prediction from the MIMIC III database of intensive cardiac care unit patients with acute coronary syndrome. The ability to identify high-risk patients could possibly allow taking pre-emptive measures and thus prevent the development of CS. METHODS: We mainly focus on techniques for the imputation of missing data by generating a pipeline for imputation and comparing the performance of various multivariate imputation algorithms, including k-nearest neighbours, two singular value decomposition (SVD)-based methods, and Multiple Imputation by Chained Equations. After imputation, we select the final subjects and variables from the imputed dataset and showcase the performance of the gradient-boosted framework that uses a tree-based classifier for cardiogenic shock prediction. RESULTS: We achieved good classification performance thanks to data cleaning and imputation (cross-validated mean area under the curve 0.805) without hyperparameter optimization. CONCLUSION: We believe our pre-processing pipeline would prove helpful also for other classification and regression experiments.
- Publikační typ
- časopisecké články MeSH
The thioredoxin system is a significant redox regulator in all organisms. Thioredoxins in bacteria are the major dithiol reductants in the cytosol (or an advanced equivalent to dithiotreitol of cells) thanks to the low redox potentials (Holmgren, 1985). In the genome of the studied model Streptomyces coelicolor A3(2) several genes were revealed which code proteins forming the thioredoxin system. It seems that this gram-positive soil bacteria have a very complex redox system, with a variety of reducing possibilities. In this work cloning, purification and characterization of further thioredoxins (TrxA2 and TrxA3) are described. Both proteins were overexpressed in E. coli cytoplasma as soluble active hexahistidine fusion proteins and isolated as homogenous substances.
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- farmakoterapie metody MeSH
- léčivé přípravky aplikace a dávkování MeSH
- lidé MeSH
- nežádoucí účinky léčiv MeSH
- ortostatická hypotenze etiologie MeSH
- senioři MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- přehledy MeSH
- MeSH
- izoenzymy MeSH
- malátdehydrogenasa chemie metabolismus MeSH
- Publikační typ
- přehledy MeSH
