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The utilisation of machine learning approaches for medical data classification and personal care system mangementfor sickle cell disease

机译:机器学习方法在镰状细胞病医学数据分类和个人护理系统管理中的应用

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The expert systems and smart devices played a key role in the development of health care in terms of continuous monitoring of patients treatment and preservation of E-medication system. The basic challenge that patients faced is the fact of difficulty in contacting physicianspecialists. The problem is there was no direct contact with the physician. This paper proposes an intelligent system that can offer self-care and monitoring system that can simulate the patient based on the application installed on his smartphone. The procedure will be whenever a patient sends his information about his blood test and other tests, the expert system will decide whether the situation is critical or not. In non-criticalcondition, the intelligent system will provide the recommendations and treatment directly. Otherwise, it will contact the physician directly to suggest the proper action that the patient should follow. Further expert system will update information regularly with patient information. A machine-learning algorithm was conductto perform the classification process.
机译:专家系统和智能设备在持续监控患者治疗和保存电子医疗系统方面,在卫生保健的发展中发挥了关键作用。患者面临的基本挑战是难以联系医师。问题是没有直接联系医生。本文提出了一种智能系统,该系统可以提供自我护理和监视系统,可以基于智能手机上安装的应用程序模拟患者。该程序将在患者发送有关其血液检查和其他检查的信息时,专家系统将决定情况是否严重。在非关键条件下,智能系统将直接提供建议和处理。否则,它将直接联系医生以建议患者应采取的适当措施。进一步的专家系统将定期用患者信息更新信息。进行了机器学习算法来执行分类过程。

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