Department of Informatics, Ionian University, Corfu, Greece.
Adv Exp Med Biol. 2021;1338:31-38. doi: 10.1007/978-3-030-78775-2_5.
Coronary heart disease is a serious and common disease that affects a large part of the population. There is a tendency to use machine learning techniques for the punctual and valid diagnosis, which can determine the effectiveness of treatment and the health of the individual. In this paper, we apply popular machine learning algorithms, achieving satisfactory performance (over 70%), coinciding with corresponding studies in the literature and at some points overriding them. Moreover, we provide a user-friendly web-based decision support system, which is suitable for specialized medical staff and, based on some easily accessible and available data, contributes to the diagnosis of the disease.
冠心病是一种严重且常见的疾病,影响了很大一部分人群。目前,有一种使用机器学习技术进行及时有效的诊断的趋势,这有助于确定治疗效果和个体健康状况。在本文中,我们应用了流行的机器学习算法,获得了令人满意的性能(超过 70%),与文献中的相应研究结果相符,在某些方面甚至超过了它们。此外,我们还提供了一个用户友好的基于网络的决策支持系统,适用于专业医疗人员,并且根据一些易于获取和可用的数据,有助于该疾病的诊断。