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Designing machine-to-machine (M2M) system in health-cure modeling for cardiovascular disease patients: Initial study

机译:在心血管疾病患者的健康治愈模型中设计机器对机器(M2M)系统:初步研究

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Cardiovascular disease (coronary heart, high blood pressure, cardiac arrhythmia, and other cardio/vascular problems) is one of the main death cause in the world. In developing country like Indonesia, the situation is worse due to lack of physicians to serve the patients. Based on these facts, we need new innovations to improve the life expectancy of cardiovascular disease patients, with help of machine-to-machine (M2M) technology. This research aims to develop a health monitoring system (healthcare) and medication recommendation (health-cure) for cardiovascular patients who stay at home. Patient's vital signs (heart rate, blood pressure, and heart rhythm) will be monitored through sensors, which will report to M2M server. Then the server will give medication recommendation automatically using one of artificial intelligence (AI) technique called Case-Based Reasoning, based on several medical records from hospitals and other references. Physician/hospital will be involved as supervisor/advisor in this project since we deal with serious disease which may threaten patient's life.
机译:心血管疾病(冠心病,高血压,心律不齐和其他心脏/血管问题)是世界上主要的死亡原因之一。在像印度尼西亚这样的发展中国家,由于缺乏医生为患者提供服务,这种情况更加恶化。基于这些事实,我们需要借助机器对机器(M2M)技术来改善心血管疾病患者预期寿命的新创新。这项研究旨在为留在家中的心血管患者开发健康监测系统(医疗保健)和药物推荐(健康治疗)。患者的生命体征(心率,血压和心律)将通过传感器进行监控,传感器将报告给M2M服务器。然后,服务器将根据来自医院和其他参考资料的几条医疗记录,使用一种称为基于案例的推理的人工智能(AI)技术自动给出药物推荐。由于我们处理可能威胁患者生命的严重疾病,因此医师/医院将担任该项目的主管/顾问。

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