Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Dec 1, 2017
Objective To study the effect of ulinastatin (UTI) on the hyper-permeability of human umbilical vein endothelial cell induced by the serum from patients with severe sepsis. Methods The serum level of tumor necrosis factor α (TNF-α) was examined by EL...
Studies in health technology and informatics
Jan 1, 2017
We investigate the application of distributional semantics models for facilitating unsupervised extraction of biomedical terms from unannotated corpora. Term extraction is used as the first step of an ontology learning process that aims to (semi-)aut...
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after evaluation of adrenal function in sepsis patients. We also evaluated other prognostic factors such as APACHE II score, proBNP, and CRP and their predic...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admi...
OBJECTIVE: To reproduce a clinically relevant "two-hit" model of sepsis complicated by pneumonia and to explore the correlation between "two-hit" and immune state.
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction.
International journal of data mining and bioinformatics
Jan 1, 2015
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classification Model (ECM), that allows for early, accurate and patient-specific classification of multivari...