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  • Open Access


    Dynamic Behavior-Based Churn Forecasts in the Insurance Sector

    Nagaraju Jajam, Nagendra Panini Challa*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 977-997, 2023, DOI:10.32604/cmc.2023.036098

    Abstract In the insurance sector, a massive volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining existing ones. The success of retention initiatives is determined not only by the accuracy of forecasting churners but also by the timing of the forecast. Previous works on churn forecast presented models for anticipating churn quarterly or monthly with an emphasis on customers’ static behavior. This paper’s objective is to calculate daily churn based on dynamic variations in client… More >

  • Open Access


    An Integrated Multilayered Framework for IoT Security Intrusion Decisions

    Hassen Sallay*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 429-444, 2023, DOI:10.32604/iasc.2023.030791

    Abstract Security breaches can seriously harm the Internet of Things (IoT) and Industrial IoT (IIoT) environments. The damage can exceed financial and material losses to threaten human lives. Overcoming these security risks is challenging given IoT ubiquity, complexity, and restricted resources. Security intrusion management is a cornerstone in fortifying the defensive security process. This paper presents an integrated multilayered framework facilitating the orchestration of the security intrusion management process and developing security decision support systems. The proposed framework incorporates four layers with four dedicated processing phases. This paper focuses mainly on the analytical layer. We present… More >

  • Open Access


    Racial Bias Can Confuse AI for Genomic Studies

    Beifen Dai1,#, Zhihao Xu2,#, Hongjue Li3, Bo Wang3, Jinsong Cai1, Xiaomo Liu4,*

    Oncologie, Vol.24, No.1, pp. 113-130, 2022, DOI:10.32604/oncologie.2022.020259

    Abstract Large-scale genomic studies are important ways to comprehensively decode the human genomics, and provide valuable insights to human disease causalities and phenotype developments. Genomic studies are in need of high throughput bioinformatics analyses to harness and integrate such big data. It is in this overarching context that artificial intelligence (AI) offers enormous potentials to advance genomic studies. However, racial bias is always an important issue in the data. It is usually due to the accumulation process of the dataset that inevitability involved diverse subjects with different races. How can race bias affect the outcomes of… More >

  • Open Access


    Heart Failure Patient Survival Analysis with Multi Kernel Support Vector Machine

    R. Sujatha1, Jyotir Moy Chatterjee2, NZ Jhanjhi3, Thamer A. Tabbakh4, Zahrah A. Almusaylim5,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 115-129, 2022, DOI:10.32604/iasc.2022.019133

    Abstract Heart failure (HF) is an intercontinental pandemic influencing in any event 26 million individuals globally and is expanding in commonness. HF healthiness consumptions are extensive and will increment significantly with a maturing populace. As per the World Health Organization (WHO), Cardiovascular diseases (CVDs) are the major reason for all-inclusive death, taking an expected 17.9 million lives per year. CVDs are a class of issues of the heart, blood vessels and include coronary heart sickness, cerebrovascular illness, rheumatic heart malady, and various other conditions. In the medical care industry, a lot of information is as often… More >

  • Open Access


    Long-term outcomes after aortic coarctation repair in Maltese patients: A population-based study

    Maryanne Caruana1, Victor Grech2

    Congenital Heart Disease, Vol.12, No.5, pp. 588-595, 2017, DOI: 10.1111/chd.12488

    Abstract Objectives: To investigate survival and freedom from reintervention after aortic coarctation repair in Maltese patients and to compare cardiovascular mortality in coarctation repair survivors with that in the general population.
    Design: All 72 aortic coarctation patients with any type of repair, born by end-1997 and logged in the local database were included. Trends in timing and type of repair were determined by comparing patients born before and after 1985. Kaplan-Meier analyses of survival and reintervention-free survival were performed on the 59 repair survivors with complete follow-up data (mean follow-up 26.13 ± 9.62 (range 1.05–44.55 years). Cardiovascular mortality… More >

  • Open Access


    A first population-based long-term outcome study in adults with repaired tetralogy of Fallot in Malta

    Maryanne Caruana1, Victor Grech2

    Congenital Heart Disease, Vol.12, No.3, pp. 301-308, 2017, DOI:10.1111/chd.12439

    Abstract Objectives: To determine overall and reintervention-free survival for repaired Maltese tetralogy of Fallot patients and to investigate the potential impact of gender, age at repair, genetic syndromes, previous palliation, and type of repair on these outcomes.
    Design: All 130 tetralogy of Fallot patients born before the end of 1997 included in the local database were extracted. Surgical repair type, age at repair and operative survival were analyzed among the 103/130 repaired patients. Kaplan–Meier survival analyses were performed on the 75 repair survivors with complete follow-up data (mean follow-up 26.37 ± 9.27 (range 9.95–51.21) years).
    Results: Patients born after… More >

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