In this study, we compared the performance of Random Forest Classifier and Decision Tree using classification evaluation methods.The results showed that Random Forest Classifier had a higher overall accuracy rate ORG TEA TREE DEODORANT SPRAY but also produced more outliers.On the other hand, Decision Tree demonstrated consistency in classification
IntroductionExtracellular vesicles (EVs) and particles (EPs) represent reliable biomarkers for disease detection.Their role in the inflammatory microenvironment of severe COVID-19 patients is not well determined.Here, we characterized the immunophenotype, the lipidomic cargo and the functional activity of circulating EPs from severe COVID-19 patien
Loaf Pan This paper presents a metafile-based progressive caching system over the content-centric networking (CCN) tree that supports seamless video streaming services with a high network utilization.In the proposed caching system, each CCN node uses a metafile made by a scalable caching algorithm for efficient and fast chunk caching management, an
In high-throughput applications, low-complexity and low-latency channel decoders are inevitable.Hence, for low-density parity-check (LDPC) codes, message passing decoding has to be implemented with coarse quantization—that is, the exchanged beliefs are quantized with a small number of bits.This can result in a significant performance degradat
Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes.We developed a lexicon of housing-related concepts Loaf Pan and rule-based natural language processing methods for identifying these housing-related concepts within clinical text.We piloted our methods on several test cohorts: a synthetic coho