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  • Open Access

    ARTICLE

    Long-Term Outcome and Risk Factor Analysis of Surgical Pulmonary Valve Replacement in Congenital Heart Disease

    Woo Young Park1, Gi Beom Kim1,*, Sang Yun Lee1, Mi Kyoung Song1, Hye Won Kwon1, Hyo Soon An1, Eun Jung Bae1, Sungkyu Cho2, Jae Gun Kwak2, Woong-Han Kim2

    Congenital Heart Disease, Vol.17, No.3, pp. 335-350, 2022, DOI:10.32604/chd.2022.018666 - 03 May 2022

    Abstract Objectives: To establish long-term outcome of surgical pulmonary valve replacement (PVR) in congenital heart disease (CHD) and to identify risk factors for overall mortality, operative mortality, and repetitive PVR. Methods: This is a retrospective study of 375 surgical PVR in 293 patients who underwent surgical PVR for CHD between January 2000 and May 2020. We only included patients with index PVR with previous open-heart surgery regardless of the number of PVRs. The previous surgical history of patients who underwent PVR during the study period was also included. Patients who underwent the Rastelli operation, and those who… More >

  • Open Access

    ARTICLE

    Risk Prediction of Aortic Dissection Operation Based on Boosting Trees

    Ling Tan1, Yun Tan2, Jiaohua Qin2, Hao Tang1,*, Xuyu Xiang2, Dongshu Xie1, Neal N. Xiong3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2583-2598, 2021, DOI:10.32604/cmc.2021.017779 - 21 July 2021

    Abstract During the COVID-19 pandemic, the treatment of aortic dissection has faced additional challenges. The necessary medical resources are in serious shortage, and the preoperative waiting time has been significantly prolonged due to the requirement to test for COVID-19 infection. In this work, we focus on the risk prediction of aortic dissection surgery under the influence of the COVID-19 pandemic. A general scheme of medical data processing is proposed, which includes five modules, namely problem definition, data preprocessing, data mining, result analysis, and knowledge application. Based on effective data preprocessing, feature analysis and boosting trees, our More >

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