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Published in 2020 at "Cytokine"
DOI: 10.1016/j.cyto.2020.155190
Abstract: Abstract Coronavirus disease 2019 (COVID19) is a life-threatening infection with uncertain progression and outcome. Assessing the severity of the disease for worsening patients is of importance in making decisions related to supportive mechanical ventilation and…
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Keywords:
prediction mortality;
mortality;
cytokine prediction;
covid19 ... See more keywords
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Published in 2020 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2020.103456
Abstract: CONTEXT The critical nature of patients in Intensive Care Units (ICUs) demands intensive monitoring of their vital signs as well as highly qualified professional assistance. The combination of these needs makes ICUs very expensive, which…
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Keywords:
care units;
intensive care;
mortality;
prediction mortality ... See more keywords
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Published in 2022 at "Clinical Transplantation"
DOI: 10.1111/ctr.14845
Abstract: Machine learning (ML) is increasingly being applied in Cardiology to predict outcomes and assist in clinical decision‐making. We sought to develop and validate an ML model for the prediction of mortality after heart transplantation (HT)…
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Keywords:
machine learning;
transplantation;
heart transplantation;
heart ... See more keywords
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Published in 2022 at "International Journal of Clinical Practice"
DOI: 10.1155/2022/1864776
Abstract: Objectives The NUTRIC (nutrition risk in the critically ill) score and the modified NUTRIC score are two scoring systems that show the nutritional risk status and severity of acute disease of patients. The only difference…
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Keywords:
mnutric score;
superior mnutric;
nutric score;
prediction mortality ... See more keywords
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Published in 2022 at "Journal of Immunology Research"
DOI: 10.1155/2022/9775111
Abstract: Background The detection of antiphospholipid antibodies (aPL) is of interest because of their importance in the pathogenesis of arterial or venous thrombosis. They could be a “second hit” of an inflammatory event such as infection.…
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Keywords:
useful biomarkers;
biomarkers prediction;
mortality;
prediction mortality ... See more keywords
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Published in 2022 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.997853
Abstract: Background Red blood cell distribution width (RDW) is a common biomarker of bacterial infections, and it can be easily obtained from a routine blood test. We investigate the diagnostic value of RDW for the prediction…
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Keywords:
sepsis;
analysis;
sepsis patients;
mortality adult ... See more keywords