ONTOLOGY DRIVEN ANALYSIS AND PREDICTION OF PATIENT RISK IN DIABETES

Sherimon PC; Vinu PV; Reshmy Krishnan; Youssef Saad

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ONTOLOGY DRIVEN ANALYSIS AND PREDICTION OF PATIENT RISK IN DIABETES

机译：糖尿病患者的本体论驱动分析和预测

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In any health care system, the patient medical history is crucial to help the doctors for further patient diagnosis. History of the patient is collected mainly through face-to-face interaction when the patient visits the hospital. If the medical staff is not well experienced, it results in failure of collecting the patient history. So in most of the cases, effective patient risk analysis cannot be done. This paper proposes an ontology based system to collect the patient history and to assess the patient risk factorsdue to smoking history, alcohol history, erectile dysfunction history, and cardiovascular history. According to the patient history, a total score is calculated for each of the above factors. According to the score, the ontology performs the risk assessment on a patient profile and predicts the potential risks and complications of the patient.Ontology is among the most powerful tools to encode medical knowledge semantically.

机译：在任何医疗保健系统中，患者的病史对于帮助医生进行进一步的患者诊断至关重要。患者的病史主要是在患者去医院时通过面对面的互动来收集的。如果医务人员经验不足，则会导致无法收集患者病史。因此，在大多数情况下，无法进行有效的患者风险分析。本文提出了一种基于本体的系统来收集患者病史并评估由于吸烟史，饮酒史，勃起功能障碍史和心血管病史而导致的患者危险因素。根据患者的病史，为上述每个因素计算总分。根据分数，本体对患者的个人资料进行风险评估，并预测患者的潜在风险和并发症。本体是语义上编码医学知识的最强大工具之一。

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《Canadian Journal of Pure and Applied Sciences》 |2014年第3期|共8页
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Sherimon PC; Vinu PV; Reshmy Krishnan; Youssef Saad;
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ONTOLOGY DRIVEN ANALYSIS AND PREDICTION OF PATIENT RISK IN DIABETES

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