Xem 1-20 trên 255 kết quả Medical data
  • Improvements in healthcare delivery in recent years are rooted in the continued industry-wide investment in information technology and the expanding role of medical informatics. Endeavors to combine medical science and technology have resulted in a growing knowledge base of techniques and applications for healthcare delivery and information management in support of patient care, research and education.

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  • Association rules represent a promising technique to find hidden patterns in a medical data set. The main issue about mining association rules in a medical data set is the large number of rules that are discovered, most of which are irrelevant. Such number of rules makes search slow and interpretation by the domain expert difficult. In this work, search constraints are introduced to find only medically significant association rules and make search more efficient.

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  • Modern medicine is characterized by the continuously growing spectrum of improving diagnostic methods and therapeutic processes. It keeps getting more complicated and confusing and therefore also needs more order. The main goal of medical documentation is to provide information for the adequate care of patients. Carefully carried out written records like a patient history, physician indexes, or, more recently, patient databases serve to reach this goal.

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  • Current research directions are looking at Data Mining (DM) and Knowledge Management (KM) as complementary and interrelated felds, aimed at supporting, with algorithms and tools, the lifecycle of knowledge, including its discovery, formalization, retrieval, reuse, and update. While DM focuses on the extraction of patterns, information, and ultimately knowledge from data (Giudici, 2003; Fayyad et al.

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  • Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources. Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding.

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  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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  • The United States has seen major advances in medical care over the past decades, but access to care at an affordable cost is not universal. Many Americans lack health care insurance of any kind, and many others with insurance are nonetheless exposed to financial risk because of high premiums, deductibles, co-pays, limits on insurance payments, and uncovered services. One might expect that the U.S. poverty measure would capture these financial effects and trends in them over time.

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  • The Tenth Edition of the Handbook of Clinical Drug Data continues a long tradition of providing clinically relevant, well-referenced drug information compiled by expert clinicians and presented in a compact format. The formats of all sections should be familiar to users of the ninth edition. As with recent editions, information in the Handbook is divided into three part

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  • Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources.

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  • The field of medical informatics has grown rapidly over the past decade due to the advances in biomedical computing, the abundance of biomedical and genomic data, the ubiquity of the Internet, and the general acceptance of computing in various aspects of medical, biological, and health care research and practice. This book aims to be complementary to several other popular introductory medical informatics textbooks.

    pdf655p echbuon 02-11-2012 29 7   Download

  • Image registration is an emerging topic in image processing with many applications in medical imaging, picture and movie processing. The classical problem of image registration is concerned with finding an appropriate transformation between two data sets. This fuzzy definition of registration requires a mathematical modeling and in particular a mathematical specification of the terms appropriate transformations and correlation between data sets. Depending on the type of application, typically Euler, rigid, plastic, elastic deformations are considered.

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  • Most information about the external world enters the human mind via the visual system; when seeing and looking are impaired, important aspects of life may elude us or the world becomes disturbingly distorted. While the globe may be likened to a camera, it is the brain that constructs an image of the world. It does this by making sense of the signals it receives from the retina, in which it is helped by data stored in memory as well as data gathered through other modes of perception.

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  • The NCRP has long mcog&ed the need for a clear assessment of the magnitude of doses from various souroes of radiation to which the population of the U.S. is ocpo9ed. In anticipation of the need to gather data for input into this process five as&sament committees, each adhing a different source category, wem established, first in 1971 and then reestablished in 1986. NCRP reports assessing exposum from natural background, consumer products, and nuclear power gene ation have recently been published (NCRP, 1987% 1987b. 1987~)...

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  • What! Yet another book on medical biostatistics! Why? What for? The purpose of this preface is to answer those questions and to add a few other pertinent remarks. The sections that follow describe a series of distinctions, some of them unique, that make this book different from other texts.

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  • Biomedical engineering and medical informatics represent challenging and rapidly growing areas. Applications of information technology in these areas are of paramount importance.

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  • PARKSERVICE is a new telemedical application combining home-based support for people with Parkinson’s disease (PD) and a PD-specific walking aid which uses a strategy known as visual cueing. PD is estimated to affect 100-180 per 100,000 of the population (with most surveys favoring the higher estimate) and has an annual incidence of 4-20 per 100,000[1],[2]. Taking a population of approximately 450M citizens this implies 450,000-900,000 people with PD (PWP) in the EU.

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  • Biomedical engineering and medical informatics are challenging and rapidly growing areas. Applications of information technology in these areas are of paramount importance. The aim of the first ITBAM conference was to bring together scientists, researchers and practitioners from different disciplines (mathematics, bioinformatics, biology, medicine, biomedical engineering and computer science) having such common interests.

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  • This is a book about medical genomics, a new field that is attempting to combine knowledge generated from the Human Genome Project (HGP) and analytic methods from bioinformatics with the practice of medicine. From my perspective as a research molecular biologist, genomics has emerged as a result of automated high-throughput technologies entering the molecular biology laboratory and of bioinformatics being used to process the data.

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  • Today, the data acquisition technology has found its way into virtually every segment of electronics. A digital signal processing (DSP) system accepts analog signals as input, converts those analog signals to numbers, performs computations using the numbers and eventually converts the results of the computations back into analog signals. Once converted to numbers, signals are unconditionally stable. Error detection and correction methods can be applied to store, transmit and reproduce numbers with no corruption....

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  • The medical devices industry is booming. Growth in the industry has not stopped despite globally fluctuating economies. The main reason for this success is probably the self-sustaining nature of health care. In essence, the same technology that makes it possible for people to live longer engenders the need for more health-care technologies to enhance the quality of an extended lifetime. It comes as no surprise, then, that the demand for trained medical-device designers has increased tremendously over the past few years.

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