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56 results for “Patient Medical Data”
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Research ArticleOpen accessIn the abstractCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccreditation of Emergency Department at a Teaching Hospital in Tehran University of Medical Sciences in 2010Fereshteh Farzianpour, Roholah Askari, Amin Torabipoor Hamedani et al.Problem statement: Considering the importance of emergency departments in healthcare system and the high mortality rate of patients referred to these departments, it is crucial to provide quality services in emergency departments. Accreditation is a systematic process for improving quality of care and it enables managers to assess and evaluate the healthcare system. Accreditation of an organization provides an obvious … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 20 Sep 2011 · 8,278 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 abstractTowards An XML-Based Normalization for Healthcare Data ExchangesI. El Azami, M. M.O. Cherkaoui, C. TahonProblem statement: Most of healthcare data exchanges are textual, poorly structured and often not accessible by clinical professionals. Otherwise, the variety of medical applications and medical standards makes difficult sharing and communicating healthcare data in a highly heterogeneous environment. Approach: XML and related standards (XML schema, XSL) provided an infrastructure that might change the situation. Our aim in this study … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,402 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 abstractHepatitis B Diagnosis Using Logical Inference and Self-Organizing MapGhumbre Shashikant Uttreshwar, A.A. GhatolDespite all the standardization efforts made, medical diagnosis is still regarded as an art owing to the fact that that medical diagnosis requires an expertise in handling the uncertainty which is unavailable in today's computing machinery. Though artificial intelligence is not a new concept it has been widely recognized as a new technology in computer science. Numerous areas such as … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Lack of Essential Information in Medical LiteratureMuaed J. Alomar, Anas A. Hourani, Syed A. Sulaiman, Claire c. StrauchPrimary literature is a basic tool for medical knowledge and for future research. Every researcher relies at some point on the information available in published literature. Also, primary literature is utilized to develop guidelines for the medical use of medications in all kinds of diseases, accuracy is a must in this regard. To evaluate essential information regarding patients, drugs and … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 2 · 30 Jun 2008 · 7,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposal for the Development of Adverse Drug Reaction Prediction ModelMuaed J. Alomar, Anas A. Hourani, Syed A. SulaimanInformation technology, which uses the computer for data processing and decision-making, has invaded all kinds of sciences. Health informatics is one of these important areas. The Objective of this study is to develop a mathematical model that calculates the percentage of ADR occurrence using the data available from primary literature for a specific medication. A mathematical model was developed to … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 2 · 30 Jun 2008 · 7,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early DiagnosisMohd Nizam Mazenan, Tan Tian Swee, Tan Hui Ru, Azran AzhimSpeech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 4 Aug 2015 · 6,496 accessesView PDFCite