Heart Disease Classification and Recommendation by Optimized Features and Adaptive Boost Learning

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS
Pardeep Kumar, Ankit Kumar
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引用次数: 0

Abstract

—In recent decades, cardiovascular diseases have eclipsed all others as the main reason for death in both low and middle income countries. Early identification and continuous clinical monitoring can reduce the death rate associated with heart disorders. Neither service is yet accessible, as it requires more intellect, time, and skill to effectively detect cardiac disorders in all circumstances and to advise a patient for 24 hours. In this study, researchers suggested a Machine Learning-based approach to forecast the development of cardiac disease. For precise identification of cardiac disease, an efficient ML technique is required. The proposed method works on five classes, one normal and four diseases. In the research, all classes were assigned a primary task, and recommendations were made based on that. The proposed method optimises feature weighting and selects efficient features. Following feature optimization, adaptive boost learning using tree and KNN bases is used. In the trial, sensitivity improved by 3-4%, specificity by 4-5%, and accuracy by 3-4% compared to the previous approach.
基于优化特征和自适应Boost学习的心脏病分类与推荐
近几十年来,在低收入和中等收入国家,心血管疾病已超过所有其他疾病,成为导致死亡的主要原因。早期识别和持续的临床监测可以降低与心脏疾病相关的死亡率。这两项服务目前都还无法实现,因为它需要更多的智力、时间和技能,才能在所有情况下有效地检测心脏疾病,并在24小时内为患者提供建议。在这项研究中,研究人员提出了一种基于机器学习的方法来预测心脏病的发展。为了准确识别心脏疾病,需要一种高效的ML技术。该方法适用于五类一常四病。在研究中,每个班级都被分配了一个主要任务,并在此基础上提出建议。该方法优化特征权重,选择有效特征。在特征优化之后,使用树基和KNN基进行自适应增强学习。在试验中,与以前的方法相比,敏感性提高了3-4%,特异性提高了4-5%,准确性提高了3-4%。
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来源期刊
CiteScore
2.30
自引率
22.20%
发文量
519
期刊介绍: IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications
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