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biosatellite    
n. 生物卫星

生物卫星


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  • Articles | BMC Medical Informatics and Decision Making
    BMC Medical Informatics and Decision Making is an open access, peer-reviewed journal that considers articles related to the design, development,
  • BMC Medical Informatics and Decision Making | Articles
    BMC Medical Informatics and Decision Making uniquely combines clinical decision-making with information technologies within the healthcare setting, for the
  • Multimodal machine learning for language and speech markers . . .
    Multimodal machine learning for language and speech markers identification in mental health | BMC Medical Informatics and Decision Making | Full Text
  • An evaluation of GPT models for phenotype concept recognition | BMC . . .
    Objective Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field These processes rely on using ontology concepts, often from the Human Phenotype Ontology, in conjunction with a phenotype concept recognition task (supported usually by
  • Improving medical term embeddings using UMLS Metathesaurus | BMC . . .
    Background Health providers create Electronic Health Records (EHRs) to describe the conditions and procedures used to treat their patients Medical notes entered by medical staff in the form of free text are a particularly insightful component of EHRs There is a great interest in applying machine learning tools on medical notes in numerous medical informatics applications Learning vector
  • Artificial intelligence in polycystic ovary syndrome: a systematic . . .
    Artificial intelligence in polycystic ovary syndrome: a systematic review of diagnostic and predictive applications | BMC Medical Informatics and Decision Making | Full Text
  • Can LLMs effectively assist medical coding? Evaluating GPT performance . . .
    Large language Models (LLM) have demonstrated near human-level performance in medical domain, from summarizing clinical notes and passing medical licensing examinations, to predictive tasks such as disease diagnoses and treatment recommendations However, currently there is little research on their efficacy for medical coding, a pivotal component in health informatics, clinical trials, and
  • Hybrid disease prediction approach leveraging digital twin and . . .
    Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift The amalgamation of bioinformatics with healthcare Big Data has ushered in a new era of disease prediction models that harness comprehensive medical data, enabling the anticipation of illnesses even before the onset of symptoms In this model, deep neural
  • BMC Medical Informatics and Decision Making BioMed Central
    The 50 identified medical informatics MeSH terms are rare ly assigned together to the same document and are almost exclusively paired with a non-medical informatics MeSH term, suggesting a strong interdisciplinary trend Trends in citations, journals, and MeSH categories of medical informatics output for the 20-year period are summarized





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