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Research ArticleOpen accessEvery word in the titleCardiovascular Disease Prediction through Ensembled Transfer Learning on Cardiac Magnetic Resonance ImagingSibu Cyriac, Sivakumar R., Nidhin RajuCardiovascular Diseases (CVD) cause more deaths worldwide than most of the other diseases. The diagnosis of cardiovascular disease from Magnetic Resonance Imaging plays a major role in the medical field. The technological revolution contributed a lot to increase the effectiveness of CVD diagnosis. Many Artificial Intelligence methods using Deep Learning models are available to assist the cardiologist in the diagnosis … …Journal of Computer Science, Vol. 18, Issue 11 · 2 Nov 2022 · 6,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related InformationMeshrif AlruilyWith the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious … …Journal of Computer Science, Vol. 15, Issue 1 · 22 Jan 2019 · 7,429 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Weighted Voting Deep Learning Approach for Plant Disease ClassificationAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabPlant destruction is usually caused by plant diseases. Without early and reliable detection, it can affect the plants and may eventually cause permanent losses, especially for inexperienced farmers. Therefore, intelligence in agriculture is becoming more and more required. Thereafter early diagnosis and classification are crucial and a very challenging research field in the agriculture sector for its treatment. In this … …Journal of Computer Science, Vol. 17, Issue 12 · 16 Dec 2021 · 6,561 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleCystatin C as a New Biomarker in Patients with Chronic Kidney Disease a Review and Meta-AnalysisLingxin Bao, Qiaoyan Zhou, Yanfang Lin et al.The objective of this study was to evaluate the correlation between cystatin C (CysC) and patients with Chronic Kidney Disease (CKD). Prospective or retrospective cohort studies which compared the levels of CysC in patients with CKD and healthy controls were searched on PubMed, Contents, CINAHL and EMBASE from 2013 to December 31, 2020. R3.5.2 software was utilized to perform data … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 3 · 12 Oct 2021 · 6,572 accessesView PDFCite
InvestigationOpen accessEvery word in the titleChronic Lyme Disease: A Working Case DefinitionRaphael B. Stricker, Melissa C. FeslerAlthough Lyme disease is the most common tickborne illness in the USA and Eurasia, the pathophysiology and clinical course of chronic Lyme disease (CLD) have not been formally defined. The purpose of this paper is to present a working case definition of CLD based on analysis of more than 700 peer-reviewed publications. According to this definition, CLD is a multisystem … …American Journal of Infectious Diseases, Vol. 14, Issue 1 · 16 Apr 2018 · 21,297 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleReview on Apiary Management and Antimicrobial Compounds as Alternative Prevention or Treatment for Honeybee DiseasesChanpen Chanchao, Marko Stoić, Mikio Yoshiyama, Kiyoshi KimuraHoneybees are important in terms of pollinators and bee products. However, honeybee colonies keep declining due to colony collapse disorder, loss of food sources, environmental deterioration, pesticide exposure and various diseases, as well as the interaction of these causes. Pathogenic infections are high because there is an antagonistic coevolution between host and pathogen/parasite, which leads to a reciprocal adaptation, as … …OnLine Journal of Biological Sciences, Vol. 18, Issue 1 · 15 Jan 2018 · 7,743 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe SEIR Dynamical Transmission Model of Dengue Disease with and Without the Vertical Transmission of the VirusPratchaya Chanprasopchai, I. Ming Tang, Puntani PongsumpunThe transmission of dengue disease when there is a possibility of Vertical Transmission (VT) is studied using mathematical modeling. In the normal case, the mosquito is infected by the dengue virus when it bites an infectious human being. Evidence is gathering that the mosquitoes can also be infected through sexual contact with infected male mosquito. To see the possible consequence … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 2 Jan 2018 · 9,061 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUPLC-Q-Exactive Orbitrap-MS Analysis of Anchusa italica Retz. Flowers: Molecular Docking, Dynamics Modeling, and Pharmacokinetics for Cardiovascular DiseaseLinyang Wang, Yan Chen, Ainiwaer Aikemu, Shuge TianThis study builds on prior UPLC-Q-Exactive Orbit rap-MS analyses of Anchusa italica Retz. Flowers (Airfs) to explore their anti-cardiovascular mechanis·ms and key bioactive markers. UPLC-Q-Exactive Orbitrap-MS identified 30 major compounds, including polyphenols and flavonoids with strong antioxidant activity. The potential active ingredients were then screened using Lipinski's rule of five, and a network pharmacology method was employed to construct an … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Oct 2025 · 2,601 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,562 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetection of Plant Leaf Diseases Using K‒mean++ Intermeans Thresholding AlgorithmKittipol Wisaeng, Worawat Sa–NgiamviboolIn the field of agricultural information, the plant leaf disease detection is highly important for both farmer life and environment. To improve the accuracy of plant leaf disease detection and reduce the image processing time, the improved K‒mean++ clustering and intermeans thresholding method are proposed in this study. The proposed algorithms are used for training and testing diseases in plant … …Journal of Computer Science, Vol. 16, Issue 9 · 21 Sep 2020 · 6,760 accessesView PDFCite