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Generating a Knowledge Graph for Determining Patient Symptoms and Medical Recommendations Based on Medical Information
Generating a Knowledge Graph for Determining Patient Symptoms and Medical Recommendations Based on Medical Information
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机译：基于医学信息生成用于确定患者症状和医学建议的知识图
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摘要
A medical triage assistance system helps to streamline remote medical triaging so that healthcare professionals can increase the number of patients they can assist, ensure high-quality care, and reduce operational costs. The medical triage assistance system receives an unstructured conversation between a patient and a healthcare professional that it organizes into call-response units that pair questions from the healthcare professional (or the medical triage assistance system) with their answers. The medical triage assistance system determines the patient's likely symptoms by traversing a knowledge graph that associates mundane language with medical symptoms based on tokens extracted from the call-response units. In some embodiments, the medical triage assistance system can also recommend and execute medical protocols based on the likely symptoms. The medical triage assistance system can generate the knowledge graph by applying machine learning techniques to patient complaint-symptom datasets that have both unstructured conversations and triage symptoms identified by healthcare professionals.
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