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Comorbidity is quite common in the medical practice. In this article we explore a way to use anonymized Electronic Health Records (EHR) data in order to derive correlations, evidence based likelihood of comorbidities manifestation within the EHR patients population. The ultimate goal is to present the information to the health care provider at the moment when a new diagnosis is entered for the patient,...
Most high-throughput experimental results of protein-protein interactions (PPIs) are seemingly inconsistent with each other. In this article, we re-evaluated these contradictions within the context of the underlying domain-domain interactions (DDIs) for two Escherichia coli and four Saccharomyces cerevisiae PPI datasets derived from high-throughput (yeast two-hybrid and tandem affinity purification)...
A recursive system identification algorithm that merges PK/PD information in a minimally parameterized Wiener model for the NMB level is presented. The results show that the coupling between one parameter from the linear block and one from the static nonlinearity is advantageous, when evaluated on a database of 60 real collected NMB cases.
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