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  • Open Access

    ARTICLE

    Multiple Sclerosis Predictions and Sensitivity Analysis Using Robust Models

    Alex Kibet*, Gilbert Langat

    Journal of Intelligent Medicine and Healthcare, Vol.3, pp. 1-14, 2025, DOI:10.32604/jimh.2022.062824 - 04 April 2025

    Abstract Multiple Sclerosis (MS) is a disease that disrupts the flow of information within the brain. It affects approximately 1 million people in the US. And remains incurable. MS treatments can cause side effects and impact the quality of life and even survival rates. Based on existing research studies, we investigate the risks and benefits of three treatment options based on methylprednisolone (a corticosteroid hormone medication) prescribed in (1) high-dose, (2) low-dose, or (3) no treatment. The study currently prescribes one treatment to all patients as it has been proven to be the most effective on More >

  • Open Access

    ARTICLE

    Early Detection of Lung Carcinoma Using Machine Learning

    A. Sheryl Oliver1, T. Jayasankar2, K. R. Sekar3,*, T. Kalavathi Devi4, R. Shalini5, S. Poojalaxmi5, N. G. Viswesh5

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 755-770, 2021, DOI:10.32604/iasc.2021.016242 - 20 August 2021

    Abstract Lung cancer is a poorly understood disease. Smokers may develop lung cancer due to the inhalation of carcinogenic substances while smoking, but non-smokers may develop this disease as well. Lung cancer can spread to other parts of the body and this process is called metastasis. Because the lung cancer is difficult to identify in the initial stages. The objective of this work is to reduce the mortality rate of the disease by identifying it at an earlier stage based on the existing symptoms. Artificial intelligence plays active roles in tasks such as entropy extraction through… More >

  • Open Access

    ARTICLE

    Service-Aware Access Control Procedure for Blockchain Assisted Real-Time Applications

    Alaa Omran Almagrabi1,*, A. K. Bashir2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3649-3667, 2021, DOI:10.32604/cmc.2021.015056 - 01 March 2021

    Abstract The design of distributed ledger, Asymmetric Key Algorithm (AKA) blockchain systems, is prominent in administering security and access control in various real-time services and applications. The assimilation of blockchain systems leverages the reliable access and secure service provisioning of the services. However, the distributed ledger technology’s access control and chained decisions are defaced by pervasive and service unawareness. It results in degrading security through unattended access control for limited-service users. In this article, a service-aware access control procedure (SACP) is introduced to address the afore-mentioned issue. The proposed SACP defines attended access control for all More >

  • Open Access

    ARTICLE

    A classification tree for the prediction of benign versus malignant disease in patients with small renal masses

    Ricardo A. Rendon1, Ross J. Mason1, Susan Kirkland2, Joseph G. Lawen1, Mohamed Abdolell3

    Canadian Journal of Urology, Vol.21, No.4, pp. 7379-7384, 2014

    Abstract Introduction: To develop a classification tree for the preoperative prediction of benign versus malignant disease in patients with small renal masses.
    Materials and methods: This is a retrospective study including 395 consecutive patients who underwent surgical treatment for a renal mass < 5 cm in maximum diameter between July 1st 2001 and June 30th 2010. A classification tree to predict the risk of having a benign renal mass preoperatively was developed using recursive partitioning analysis for repeated measures outcomes. Age, sex, volume on preoperative imaging, tumor location (central/peripheral), degree of endophytic component (1%–100%), and tumor axis position… More >

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