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84 articles for “Medical Data Analysis”
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Research ArticleOpen accessIn the abstractEmpirical Study on Applications of Data Mining Techniques in HealthcareHarleen Kaur, Siri Krishan WasanThe healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,841 accessesView PDFCite
Research ArticleOpen accessIn the abstractHospital-Based Antibiotic Therapy in Benin: A Point Prevalence Survey at the Departmental and Teaching Hospital of Borgou-Alibori in 2022Cossi Angelo Attinsounon, Aldin Gnaha, Carine Laurence Yehouenou et al.Antimicrobial resistance is a public health problem. The main factor favoring the development of antibiotic resistance is the abusive or inappropriate use of antibiotics. This study is the first to take all services into account and aims to describe antibiotic therapy practices in the Departmental and Teaching Hospital of Borgou-Alibori (DTH-BA). Patients and methods: This was a cross-sectional, descriptive survey … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 10 Feb 2024 · 6,098 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 · 6,292 accessesView PDFCite
Research ArticleOpen accessIn the abstractDimensionality Reduction using Principal Component Analysis for Cancer Detection based on Microarray Data ClassificationAdiwijaya, Untari N. Wisesty, E. Lisnawati et al.Cancer is one of the most deadly diseases in the world. The International Agency for Research on Cancer (IARC) noted 14.1 million new cancer cases and 8.2 million deaths from cancer in 2012. In the last few years, DNA microarray technology has increasingly been used to analyze and diagnose cancer. Analysis of gene expression data in the form of microarray … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 9,938 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BIO-SURVEILLANCE SYSTEM USING EFFICIENT ALGORITHM FOR INFORMATION SHARING APPLICATIONSShobhanjaly P. Nair, K. Silambarasan, N. Bindhu, R. SrinivasanBio-Surveillance represents a health information system for public that stores and integrates health related information and data across a variety of data. Bio-surveillance strategies are projected for detection of disease outbreaks from existing diagnostic data, but their performance is typically not understandable. The focus of the paper is to develop a bio-surveillance system which can serve the aim of biosurveillance … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgram Evaluation of Health Care Management: Is it adjusted for Students Needs?Fereshteh Farzianpour, Hossein Dargahi, Shadi Hosseini et al.Problem statement: Since improving the quality of high education is the final purpose of educational evaluation and an internal evaluation can make it possible to judge the quality of high education and achieve the goal of educational systems, in this study an internal evaluation in health care management department of Allied Medical Sciences Faculty of Tehran University of Medical Sciences, … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 12 Jul 2011 · 7,879 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence in COVID-19 Management: A Systematic ReviewSamaneh Mohammadi, SeyedAhmad SeyedAlinaghi et al.With the development of modern technologies in the field of healthcare, the use of Artificial Intelligence (AI) in disease management is increasing. AI methods may assist healthcare providers in the COVID-19 era. The current study aimed to observe the efficacy and importance of AI for managing the COVID-19 pandemic. An organized search was conducted, utilizing PubMed, Web of Science, Scopus, … …Journal of Computer Science, Vol. 19, Issue 5 · 30 Mar 2023 · 8,062 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractITERATIVE DICHOTOMISER-3 ALGORITHM IN DATA MINING APPLIED TO DIABETES DATABASEP. VasudevanIn this study, eight major factors playing significant role in the Pima Indian population are analyzed. Real time data is taken from the large dataset of National Institute of Diabetes and Digestive and Kidney Diseases. The data is subjected to an analysis by logistic regression method using SPSS 7.5 statistical software, to isolate the most significant factors among the eight … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 7,082 accessesView PDFCite