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AUTOMATED MANAGEMENT OF MEDICAL DATA USING EXPERT KNOWLEDGE AND APPLIED COMPLEXITY SCIENCE FOR RISK ASSESSMENT AND DIAGNOSES
AUTOMATED MANAGEMENT OF MEDICAL DATA USING EXPERT KNOWLEDGE AND APPLIED COMPLEXITY SCIENCE FOR RISK ASSESSMENT AND DIAGNOSES
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机译:使用专家知识和应用复杂性科学进行风险评估和诊断的医学数据自动管理
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摘要
A knowledgebase comprising a plurality of feature-sets is created using complexity science. The knowledgebase is accessible through a network to a computer, a system, and a computer program code that receives and analyzes medical data to determine the existence of a disease state. The medical data is input and correlated to features within the knowledgebase to identify feature-sets, each feature-set indicating a particular medical condition. After one or more feature-sets have been selected, associative algorithms consider the magnitudes or values of the medical data and, with the values of features in the feature-sets, assess the risk burden of the medical condition associated with the feature-set. An output is generated that may include diagnoses of one or more medical conditions, the risk burden of the medical condition(s), possible treatment options and prevention techniques.
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