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33 results for “Health Records”
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Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractPost-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid ModelBoddeti Jaggan Mohan Ravi Kumar, P. V. G. D. Prasad Reddy, G SrinivasThe COVID-19 pandemic (2019-2022) resulted in significant global mortality, largely attributed to the virus's unpredictable pathophysiology, rapid disease progression affecting multiple organ systems, and initial lack of effective treatments. This study systematically examines post-COVID-19 complications across major organ systems, including respiratory dysfunction, cardiovascular complications, renal disorders, musculoskeletal pain, gastrointestinal disturbances, neurological sequelae, alopecia, endocrine and metabolic dysregulation, and mental health … …Journal of Computer Science, Vol. 21, Issue 11 · 23 Dec 2025 · 1,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain: An Efficient Intelligent Agreement for Patents and TrademarksVikram Shirol, Shanmuga RathinamIntellectual property security faces problems in the digital era, with growing piracy, AI-generated works, and global compliance problems, Creations, designs, trademarks, and trade secrets are all protected by Intellectual Property (IP) rights; yet, there are several issues with IP rights management and enforcement around the world. The benefits of blockchain technology include decentralization, transparency, and immutability. Therefore, blockchain offers to … …Journal of Computer Science, Vol. 21, Issue 3 · 20 Feb 2025 · 5,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpidemiological Insights and Case Fatality Analysis of SARS-CoV-2 in Indian States During the First WaveRakesh Kaushik, Nikita et al.Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has globally spread, causing a significant health crisis. India, with over 157,000 fatalities, ranks third globally in mortality cases. While vaccine development has played a pivotal role in decelerating the virus's spread, understanding the specific factors influencing morbidity and mortality during the first wave remains essential. This retrospective study analyzes data from 28 Indian … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 21 Jan 2025 · 4,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Antimicrobial Stewardship Program During COVID-19 Era: Cost Effectiveness and Mortality RatesSafaa Alkhiami, Anass Qasem, Hussein Mohamed Hussein, Ali AbdallaThe growing spread of antimicrobial resistance is a major problem on a global level that has provoked several health and government organizations to call for action to counteract the problem. The frequent misuse of antibiotics is prevalent within hospital settings, especially during the COVID-19 era. The introduction of antibiotic stewardship initiatives has demonstrated the capability to decrease both unwarranted antibiotic … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 30 Jan 2024 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Student Mental Health Dataset Using Mining TechniquesYemima Monica Geasela, Devi Yurisca Bernanda, Johanes Fernandes Andry et al.This study utilizes a decision tree model in RapidMiner to analyze a dataset from Kaggle, comprising 200 student records. Among these, 70 students reported mental health issues, while 130 did not. Strikingly, a significant majority of 58 out of the 70 students with mental health concerns do not seek assistance from professionals. This study underscores the pressing issue of underutilization … …Journal of Computer Science, Vol. 20, Issue 1 · 22 Dec 2023 · 6,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractBacterial 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 · 5,033 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence in e-Health: A Review of Current Status in Healthcare and Future Possible Scope of ResearchSapna Katiyar, Artika FarhanaArtificialIntelligence (AI) has been emerging promptly currently due to softwarealgorithms, hardware employment, and applications in many sectors. TheHealthcare sector is drawing the attention of healthcare professionals andresearchers from a multidisciplinary viewpoint like administration, business,finance, record keeping, decision making, and services. Extensive usage ofelectronic health records gives rise to an immense quantity of clinical data.For patient welfare, disease diagnosis is vital … …Journal of Computer Science, Vol. 18, Issue 10 · 6 Oct 2022 · 6,281 accessesView PDFCite