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resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
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health resource » health resources (Expand Search), health research (Expand Search), healthcare resource (Expand Search)
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binary wave » binary image (Expand Search)
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
codon optimization » wolf optimization (Expand Search)
health resource » health resources (Expand Search), health research (Expand Search), healthcare resource (Expand Search)
binary health » primary health (Expand Search)
binary wave » binary image (Expand Search)
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
Published 2019“…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …”
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”
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Data_Sheet_1_The impact of family urban integration on migrant worker mental health in China.docx
Published 2024“…The results of this study lead the authors to recommend formulating a family-centered policy for migrant workers to reside in urban areas, optimizing the allocation of medical resources and public services, and improving family urban integration among migrant workers in order to avoid mental health problems in the process of urban integration.…”