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689 results for “Diseases”

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Case ReportOpen accessEvery word in the titlePrimary Eosinophilic Lung Diseases and the Therapeutic Role of Corticosteroids: A Case Report and Literature ReviewHuzairi Sani, Nada Syazana ZulkufliA 17-year-old girl was seen and treated for eosinophilic pneumonia with underlying Hypereosinophilic Syndrome (HES), a rare disorder comprising of the triad: A persistently high eosinophil count, eosinophil-mediated organ damage and with no evidence of other causes of secondary eosinophilia. The diagnosis was subsequently changed to acute exacerbation of chronic eosinophilic pneumonia following reviews of journal updates. Pulmonary eosinophilia is … …Current Research in Medicine, Vol. 9, Issue 1 · 21 Feb 2020 · 12,237 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBoosting-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 accessEvery word in the titleAssociation of High-Affinity FcεRI-β intron 2 for IgE Gene Polymorphism and Atopic Diseases in an Algerian PopulationDahbia Ines Dahmani, Ikhlass Haj Salem, Jamila Chakir et al.Atopy is characterized by the production of a high level of IgE in response to common allergens. We examined the RsaI-in2 polymorphism of the FcεRI-β gene and its association with atopic asthma and comorbidity. The study population included 77 atopic asthmatics and 77 non-atopic, non-allergic and non-asthmatic controls. Atopic asthma was confirmed by the skin prick test and by IgE … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 1 Nov 2017 · 7,444 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleThe Duality of AIM2 Inflammasome: A Focus on its Role in Autoimmunity and Skin DiseasesMiriam CanaveseUnderstanding the inflammasome biology is one of the most exciting challenges in immuno-pharmacology. The role of the inflammasomes has been recognized in the host defense mechanism against invading pathogens and in the development of several conditions, such as cancer, auto-inflammatory, autoimmune, metabolic and neurodegenerative disorders. DNA recognition by the cells is a crucial immunological step leading to the initiation of … …American Journal of Pharmacology and Toxicology, Vol. 11, Issue 1 · 23 Apr 2016 · 7,369 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA BI-RADS Based Expert Systems for the Diagnoses of Breast DiseasesUmi Kalthum Ngah, Shalihatun Azlin Aziz, Mohd. Ezane Aziz et al.We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic (MAMMEX) and breast ultrasound (SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDFCite
Review ArticleOpen accessIn the keywordsContamination, Spoilage and Safety of Fisheries and Aquaculture Products By Pseudomonas sppAlejandro De Jesús Cortés-Sánchez, Mayra Diaz-Ramírez et al.Food safety is the guarantee that it will not cause harm to the health of those who consume it and is considered an important element of its quality. Fish is a nutritious and basic food in the human diet, and its supply occurs through fishing and aquaculture activities. Fish is susceptible to contamination and microbiological spoilage through the food chain, … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 4 · 20 Nov 2023 · 6,605 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrevalence of Endo and Ectoparasitism of Sheep in Northern KazakhstanDinara Seitkamzina, Botakoz Akmambaeva, Gulmira Abulgazimova et al.Invasive diseases of sheep are widespread worldwide, including in Kazakhstan. Recently, in the Akmola farms of Kazakhstan, there has been an increase in the spread of gastrointestinal diseases in sheep. The study aimed to assess the Prevalence (P) of sheep parasitosis in Northern Kazakhstan to develop effective prevention and control measures. Five-hundred and sixty-four sheep were studied in four rural … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 23 Sep 2023 · 5,655 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,986 accessesView PDFCite