Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

93 results for “Medical Data Analysis”

Set a search alert
Research ArticleOpen accessIn the abstractThe Evaluation of Relative Efficiency of Teaching HospitalsFereshteh Farzianpour, Shayan Hosseini, Tahera Amali et al.Problem statement: The main purpose of applying practical and scientific ways to evaluate the hospital’s performance and activities the optimal use of physical facilities ‘technology and the present human power. One the scientific way used for this purpose is using economic analysis and tools one of which is to determining hospitals’ technical efficiency the present study tries to determine the … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 27 Jan 2012 · 7,580 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 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Medical Image SegmentationNandagopalan Shanmugam, Adiga B. Suryanarayana, Sudarshan TSB et al.Problem statement: Segmentation is a vital aspect of medical imaging. It aids in the visualization of medical data and diagnostics of various diseases. Ultrasound image segmentation, in particular echocardiographic image segmentation, is required to identify the regions of interest such as Left Ventricle (LV) and other cardiac cavities. Existing methods do not address the drawbacks of speed and quality of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,214 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhat Else do Epileptic Data RevealRamalingam ShanmugamProblem statement: Aggregating and analyzing data of all patients using statistical methodologies as often done in macro sense would be not useful when physician’s professional interest was only to provide the best medical care to the patient. For this purpose, individual data of the involved patient should be analyzed and modeled in a micro sense for the physician to notice … …Current Research in Medicine, Vol. 2, Issue 1 · 29 Mar 2011 · 7,302 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 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prospective Evaluation of Antihypertensive Medications Safety and Efficacy in United Arab Emirates Private HospitalsMuaed Jamal Alomar, Claire Caroline StrauchProblem statement: Hypertension is one of the most important risk factors for heart and cardiovascular diseases in the United Arab Emirates (UAE). Evaluation of the safety and efficacy of antihypertensive medications in UAE private hospitals is important. The importance arises because of the high prevalence of hypertension in this multicultural region. This study evaluated the use of antihypertensive medications among … …American Journal of Pharmacology and Toxicology, Vol. 5, Issue 2 · 30 Jun 2010 · 8,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferential Diagnosis Knowledge Building by Using CUC-C4.5 FrameworkKusrini, Sri Hartati, Retantyo Wardoyo, Agus HarjokoProblem statement: The Case Based Reasoning (CBR) method can be implemented in differential diagnosis analysis. C4.5 algorithm has been commonly used to help the method's knowledge building process. This process is completed by constructing decision tree from previously handled cases data. The C4.5 algorithm itself can be used with an assumption that all the cases has an exact and equal … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 8,411 accessesView PDFCite
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 · 9,834 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 · 8,056 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 · 7,075 accessesView PDFCite