240 results for “Healthcare”

Set a search alert

Research ArticleOpen accessEvery word in the titleE-Learning Practices on Healthcare Associated Infections (HAI): Report of Brazilian ExperienceEduardo Alexandrino Servolo Medeiros, Fernando Gatti De Menezes, Carla Morales Guerra et al.To develop a teaching and learning environment, on-line and free, to provide technical information with health professional team from Epidemiological Health Surveillance and Nosocomial Infection Control Groups in Brazil. The first Brazilian experience of e-learning was carried out through a partnership between the National Health Surveillance Agency (ANVISA) and Federal University of São Paulo (UNIFESP). The course supported by different … …American Journal of Infectious Diseases, Vol. 4, Issue 4 · 31 Dec 2008 · 7,386 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEvaluation of an Intelligent Electronic Prescription Ontology Using Open Source Tools: A Botswana Case StudyTshiamo Sigwele, Eunice Okon, Tshepiso Mokgetse, Onkemetse TshenyegoHealthcare interoperability in Botswana is hindered by fragmented information exchange across public and private providers, resulting in prescription conflicts, duplicated treatment, and delayed care. In prior work, we developed the Intelligent Electronic Prescription Ontology (IEPO), an open-source OWL 2 ontology for semantically standardized prescription data exchange. Although IEPO was previously validated using competency question-driven metrics (recall, precision, and F1-score), those … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 513 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsMedFusion: A Unified Multimodal Framework for Visual Question Answering and Explainable Medical RecommendationSatyajit Mahapatra, Jibitesh Mishra, Kumar Janardan Patra et al.In clinical decision-making, the ability to ask visual questions about medical images and receive accurate, personalized, and interpretable recommendations can significantly enhance practitioner support systems. This paper presents MedFusion, a unified multimodal framework that integrates Visual Question Answering (VQA), personalized medical recommendation, and explainability within a single architecture. The proposed model employs co-attention–based visual–textual fusion augmented with retrieval-enhanced reasoning to … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,370 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsPrevalence and Determinants of Antibiotic Use by the Elderly in Marrakech, MoroccoNaima Aoutil, Mohamed Cherkaoui, Mohamed BouskraouiAntibiotics are essential for the prevention and treatment of bacterial infections; however, their inappropriate use among elderly populations poses serious risks, including the emergence of multidrug-resistant organisms. Antimicrobial resistance has become a critical global public health challenge, with irrational antibiotic use being one of its primary drivers. In Morocco, data on antibiotic use among older adults remain scarce, particularly regarding … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 13 Apr 2026 · 1,370 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,435 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,655 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,363 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsBacterial Resistance in Primary Bloodstream Infections in the COVID-19 Pandemic: What has Changed at a Reference Hospital in Northeastern Brazil?Jonathan Da Silva Xavier, Jorge Luiz Nobre Rodrigues, Caroline Mary Gurgel Dias Florêncio et al.The increased use of central venous catheters due to the severity of COVID-19 cases and the difficulty in implementing preventive Healthcare-Associated Infection measures contributed to worsening an already challenging scenario of bacterial resistance. Characterizing the impact of these significant health crises on the bacterial resistance profile is necessary to strengthen antimicrobial control protocols in an effort to decrease morbidity. Our … …American Journal of Infectious Diseases, Vol. 20, Issue 2 · 4 Sep 2024 · 5,036 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsSmart Patient Consent Management Model for Health Information Exchange Based on Blockchain TechnologyK. R. Rohini, P. S. Rajakumar, S. GeethaInnovation for Electronic Medical Records (EMRs) has been hindered by years of excessive regulation and inefficient bureaucracy. As data science and personalization encourage individuals to take an active role in their healthcare and regain control of their own medical records, there is an urgent need for new approaches. The ability to exchange electronic health records is fundamental in contemporary healthcare … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 7,351 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEmpowering Privacy: Harnessing Hyperledger Fabric to Safeguard EHR SystemsVidhi Thakkar, Vrushank Manharlal ShahThe Blockchain boom began with the debut of Bitcoin. The application of blockchain technology is expanding rapidly. Various sectors such as supply chain, logistics, research, healthcare, government, banking, media, and entertainment have already embraced this ground-breaking, decentralized technology. The healthcare industry is at the top of the list with significant blockchain potential. This article discusses the permissioned blockchain powered by … …Journal of Computer Science, Vol. 19, Issue 11 · 18 Sep 2023 · 6,007 accessesView PDF Cite