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10 results for “Sequential Disease”
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Research ArticleOpen accessIn the keywordsEfficient Approach to Discover Interval-Based Sequential PatternsR. Sadasivam, K. DuraiswamyIn most of the sequential pattern mining methodology they have concentrated only on time point base event data. But some research efforts have detailed the mining patterns from time interval based event data. In many application most of the events are occurred at time interval based event not a point based interval for example patient affected by the certain time … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,368 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelease of Endogenous Chondroitin Sulfate and Heparin as Consequence of Dysregulated Proteolysis in COVID-19Marco RuggieroInfection by severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2), the pathogen responsible for COVID-19, is associated with immune-mediated responses that lead to dysregulated activation of proteolytic enzymes; these contribute to damage to the endothelium, thrombosis, hypercoagulability and other hematologic complications that include thrombotic thrombocytopenia, a complication of severe COVID-19 as well as a potentially fatal adverse effect of COVID-19 vaccination. … …American Journal of Immunology, Vol. 17, Issue 1 · 29 Dec 2021 · 7,688 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE ANALYSIS OF GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURE FEATURES FOR GLAUCOMA DIAGNOSISSakthivel Karthikeyan, N. RengarajanGlaucoma is a multifactorial optic neuropathy disease characterized by elevated Intra Ocular Pressure (IOP). As the visual loss caused by the disease is irreversible, early detection is essential. Fundus images are used as input and it is preprocessed using histogram equalization. First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM) are extracted from the … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Distributed Bioinformatics Computing System for DNA Sequence Analysis on Encoding SystemMohammad Ibrahim Khan, Chotan SheelThis study provides an effective design of search technique of a distributed bioinformatics computing system for analysis of DNA sequences using OPTSDNA algorithm. This system could be used for disease detection, criminal forensic analysis, gene prediction, genetic system and protein analysis. Different types of distributed algorithms for the search and identification for DNA segments and repeat pattern in a given … …Current Research in Bioinformatics, Vol. 2, Issue 2 · 20 Dec 2013 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVEMENT OF AUTOMATIC HEMORRHAGES DETECTION METHODS USING SHAPES RECOGNITIONNidhal Khdhair El Abbadi, Enas Hamood Al SaadiDiabetic Retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the incidence of blindness. … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,486 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBoosting-BoW Algorithm for Finding Kidney Diseases from Medical Test ReportsWisam A. Qader, Abbas M. AliThis paper introduces an approach to increase the accuracy rate of classification by employing Bag-of-Words (BoW) as a feature selection method along with machine learning algorithms to obtain a more accurate output. Because of its capability in quickly processing large sets of data and getting accurate results, this approach can be used in medical areas. Different ensemble approaches are generated … …Journal of Computer Science, Vol. 15, Issue 4 · 26 Apr 2019 · 7,497 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDynamical Model for Determining Human Susceptibility to Dengue FeverSurapol Naowarat, Thanon Korkiatsakul, I. Ming TangProblem statement: Mathematical models are a useful tool for understanding and describing the transmission of diseases such as dengue fever, one of the most prevalently emerging diseases common to tropical and subtropical areas throughout South East Asia. By taking into account human susceptibility to disease, the dynamics of a dengue disease model is proposed. Approach: Using standard methods for analyzing … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 28 Sep 2011 · 7,735 accessesView PDFCite