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At least 145 records · Page 8Linked to original sources
PubMed1986

[Conservative therapy of forearm fracture in the growth stage with special reference to the correlation of roentgenologic course, objective and subjective total results].

143 out of 310 patients in the age of one to 18 years suffering from forearm-shaft-fractures could be followed up at the 2nd Department of Traumatology, University of Vienna, out of a period between 1978 and 1983. A correlation between radiologic follow-ups and objective/subjective findings was achieved by means of the WAMASTAT/SAS program at the Institute of Medical Computer Sciences. With the aid of computer diagrams of the angulation of fracture-dislocation awaited restrictions of movement can be anticipated. Corrective reductions performed in time can prevent disalignment and improve long-term follow-up results.

Adolescent↗
PubMed1999

From molecular to modular cell biology.

Cellular functions, such as signal transmission, are carried out by 'modules' made up of many species of interacting molecules. Understanding how modules work has depended on combining phenomenological analysis with molecular studies. General principles that govern the structure and behaviour of modules may be discovered with help from synthetic sciences such as engineering and computer science, from stronger interactions between experiment and theory in cell biology, and from an appreciation of evolutionary constraints.

Action Potentials↗
PubMedDate not supplied

Fast exact string pattern-matching algorithms adapted to the characteristics of the medical language.

OBJECTIVE: The authors consider the problem of exact string pattern matching using algorithms that do not require any preprocessing. To choose the most appropriate algorithm, distinctive features of the medical language must be taken into account. The characteristics of medical language are emphasized in this regard, the best algorithm of those reviewed is proposed, and detailed evaluations of time complexity for processing medical texts are provided. DESIGN: The authors first illustrate and discuss the techniques of various string pattern-matching algorithms. Next, the source code and the behavior of representative exact string pattern-matching algorithms are presented in a comprehensive manner to promote their implementation. Detailed explanations of the use of various techniques to improve performance are given. MEASUREMENTS: Real-time measures of time complexity with English medical texts are presented. They lead to results distinct from those found in the computer science literature, which are typically computed with normally distributed texts. RESULTS: The Boyer-Moore-Horspool algorithm achieves the best overall results when used with medical texts. This algorithm usually performs at least twice as fast as the other algorithms tested. CONCLUSION: The time performance of exact string pattern matching can be greatly improved if an efficient algorithm is used. Considering the growing amount of text handled in the electronic patient record, it is worth implementing this efficient algorithm.

Algorithms↗
PubMed1999

[Towards evidence-based public health?].

Evidence-based public health can be viewed as a way of facing community health problems by which the decisions are taken accordingly to the available evidence. A complete multidisciplinary approach should be introduced, with the goal of identifying and articulating the different dimensions which are present when trying to respond to the challenges or problems for the people's health. In addition to clinical medicine, disciplines such as epidemiology, biostatistics, health services research, economics, behavioural sciences, demography, nutrition, gerontology or computing sciences, among others, may contribute to health promotion and disease prevention. This open approach should not be exempt of a captious attitude toward the obtainable information, while it is essential to have a comprehensive spirit to combine this information with the previous experience and the peculiarities of each situation. Searching for evidence begins with a clear operational statement of the problem. This helps to select and obtain the key pieces of information. The information obtained must be judged critically, and related to the specifics of the problem. Lastly, it should be accepted that search for evidence does not mean finding certitude. Idolizing evidence can end up being as inappropriate as the implementation of a health program ignoring the previous information about its potential effectiveness, if such information were available. Many decisions in public health have to be taken conscious that scientific evidence does not rule out uncertainty, as other elements such as the cultural context, the individual preferences and other social factors may have a decisive influence in the success or failure of public health interventions.

Bacterial Vaccines↗
PubMed1994

[Informatics education in undergraduate study at the 1st Medical School of Charles University].

History of medical informatics at the 1st Medical Faculty goes to 25 years back. Currently curriculum is divided in two parts. In the first year of studies and obligatory course of computer technique is organized including: computer functions, communications with computers, database systems and text editors. In the 4th year of studies a course in clinical informatics is realized including: principles of computer science, statistical software, artificial intelligence, computer in pedagogy, scientific information, classification in medicine, biological signal and picture analysis, hospital information systems, computer in outpatient ward, clinical decision support, computer simulation in clinical medicine, computers in pharmacology, computer in metabolic care, computers in medical devices. In this way medical students are prepared to be able to use technical means in scientific information management.

Czech Republic↗
PubMed1976

Computer-aided-instruction in the emergency department.

The Massachusetts General Hospital Laboratory of Computer Science created a library of computer-aided-instruction (CAI) programs in 1972. An experimental network of Cai programs, made possible by National Library of Medicine (NLM) support, was set up in July 1972, operating over commercial communication lines. Programs developed by Massachusetts General, Ohio State University and the University of Illinois Medical College were made available to users with terminals in about 36 cities through a local telephone number. During the first two years of the program over 80 institutions participated. A trial of the Massachusetts General programs, in conjunction with the Continuing Education Committee of the American College of Emergency Physicians, was conducted in five representative community hospitals. The hospitals put up the cost of the terminals and the telephone charges. Results of the study showed that 12 of the 40 (30%) emergency physicians in the target population took 10 or more programs. They gave the programs a favorable overall rating--1.6 on a scale of 1 (strongly positive) to 5 (strongly negative).

Computer-Assisted Instruction↗
PubMed2001

Evolutionary computation.

Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer. This harnesses the power of evolution as an alternative to the more traditional ways to design software or hardware. Research into evolutionary computation should be of interest to geneticists, as evolved programs often reveal properties - such as robustness and non-expressed DNA - that are analogous to many biological phenomena.

Algorithms↗
PubMed2000

The origins and nature of the cognitive paradigm: an overview.

Although cognitive science, the 'science of mind' is generally regarded as of relatively recent vintage, its origins can actually be traced back to ideas from the 1930s. The purpose of this paper is to offer a view of the essential nature of what has come to be called the cognitive paradigm--the framework around which cognitive science has come to be constructed--and about its origins and development. Of particular note is the interdisciplinarity of the field, with its strong links to psychology, linguistics, neurobiology, computer science and philosophy. As will be explained below, this interdisciplinary character is rooted in the historical development of the science itself, and can only be understood in such a context. Thus, the present article is strongly historical in spirit and content.

Artificial Intelligence↗
PubMed1997

Education and training in medical informatics, statistics and epidemiology in EuroMISE.

The paper gives information on education and training covered by the Joint European Project (JEP) entitled 'Education in the Methodology Field of Health Care, EuroMISE (European Education in Medical Informatics, Statistics and Epidemiology)', that has been running for 3 years (1993-1995) under the umbrella of the European TEMPUS-PHARE programme. Training and education in EuroMISE consists of three overlapping methodological branches: Medical informatics (MI), medical statistics (MS) and epidemiology (E). The teaching scheme has been developed in cooperation between 11 universities in the European Union and Charles University in Prague (four medical faculties, the Faculty of Mathematics and Physics and the Faculty Hospital) together with the Academy of Sciences of the Czech Republic (Institute of Computer Science). The paper shows EuroMISE targets, structure of EuroMISE courses and conferences and gives further views to the future in this field of education.

Congresses as Topic↗
PubMed1988

[Computer aided design of anticancer drugs].

The recent advances in computer science and technology enabled us to use computer for drug-design. Calculation of structural features of drugs and modeling of biomacromolecules by means of 3D-computer graphics afford a new approach to comprehend a molecular interaction which is important for drug action. As target molecules for anticancer drug, DNA structure can be elucidated and drug-DNA complex model can be constructed to give further insight for drug design. For example, complex of DNA double helix and bleomycin was built and by conjunction with other complex model such as mitomycin C, anthramycin, and netropsin it would be able to design a base sequence specific DNA-groove binding molecule. In addition, DNA is also a target molecule for antibiotics which intercalate between base pairs. Rational design of intercalator and groove binder thus would lead a novel anticancer drug. On the other hand, combination of the fruitful results of molecular biology and gene engineering with computer technology, will give a detail of protein structure which is one of most desired information for designing novel drugs.

Antineoplastic Agents↗
PubMed2000

[Neuroheuristics, a new paradigm in neuroscience].

The recent advances of Molecular Biology and Computer Sciences in Neurosciences open unprecedented perspectives for biomedical investigation. Neuroheuristics offers as a new paradigm where these disciplines are no longer restricted to their technical expertise, but rather subserve a dynamical approach to the clinical and fundamental research for the neurological sciences.

Animals↗
PubMed2000

Sequencing the entire genomes of free-living organisms: the foundation of pharmacology in the new millennium.

The power and effectiveness of clinical pharmacology are about to be transformed with a speed that earlier in this decade could not have been foreseen even by the most astute visionaries. In the very near future, we will have at our disposal the reference DNA sequence for the entire human genome, estimated to contain approximately 3.5 billion bp. At the same time, the science of whole genome sequencing is fostering the computational science of bioinformatics needed to develop practical applications for pharmacology and toxicology. Indeed, it is likely that pharmacology, toxicology, bioinformatics, and genomics will merge into a new branch of medical science for studying and developing pharmaceuticals from molecule to bedside.

Animals↗
PubMed1994

Rearrangements of DNA sequences and SBH.

Despite recent advances in DNA sequencing by hybridization it is still a random shotgun method. Even if one manages to routinely sequence short DNA fragments by SBH these fragments have to be assembled into the final genomic sequence. Recently different additional biochemical experiments were suggested which potentially may drastically increase the resolving power of SBH. However biologists frequently cannot estimate the computer science limitations of the proposed additional experiments and no computational studies of additional experiments for SBH were provided yet. The paper discusses a combinatorial technique which might help a biologist to analyze different additional biochemical experiments and to combine these data with SBH data to increase the resolving power of SBH.

Base Sequence↗
PubMed1993

An overview of human-computer interaction.

This article presents an overview of the field of human-computer interaction. This branch of computer science concerns the design, implementation and analysis of interactive computer systems. We show that this field is multidisciplinary in essence, involving social scientists as well as computer scientists, experts of application domains, graphics designers, etc. Once the fundamental aspects of human-computer interaction are presented, we take a practical approach in order to introduce the methods, tools and techniques that are available today for the design and implementation of interactive computer systems. Finally, we present the main directions of research in this domain.

Computer Simulation↗
PubMed1993

Faster sequential genetic linkage computations.

Linkage analysis using maximum-likelihood estimation is a powerful tool for locating genes. As available data sets have grown, the computation required for analysis has grown exponentially and become a significant impediment. Others have previously shown that parallel computation is applicable to linkage analysis and can yield order-of-magnitude improvements in speed. In this paper, we demonstrate that algorithmic modifications can also yield order-of-magnitude improvements, and sometimes much more. Using the software package LINKAGE, we describe a variety of algorithmic improvements that we have implemented, demonstrating both how these techniques are applied and their power. Experiments show that these improvements speed up the programs by an order of magnitude, on problems of moderate and large size. All improvements were made only in the combinatorial part of the code, without restoring to parallel computers. These improvements synthesize biological principles with computer science techniques, to effectively restructure the time-consuming computations in genetic linkage analysis.

Algorithms↗