Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “computer sciences”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 307 records · Page 17Linked to original sources

Morphometry by computerized three-dimensional reconstruction of the hypogastric plexus of a human fetus.

The histological study of the plexus hypogastricus inferior (hypogastric plexus) of a human fetus does not permit the direct appreciation of its spatial configuration and its complicated relations. Developments in the field of computer science and three-dimensional (3D) reconstruction from serial histological sections have allowed a precise description of its morphometry and relations. The histological sections which were used came from the "Rouvière" collection of the Institute of Anatomy in Paris. A personal computer (IMAC) system of image analysis with reconstruction software was used. Serial pelvic histological sections were directly digitized from the slides. Image treatment and reconstruction were done with manual methods. The 3D reconstruction of the hypogastric plexus, the nerves, the pelvic skeleton and viscera were done. The hypogastric plexus and its topographic relations with the other organs were visualized and studied in three dimensions, and its morphometry was studied. The direct acquisition of the images from the slides allowed excellent high-quality digital images to be obtained. However, manual processing for the reconstruction was time-consuming. At first, the reconstruction of the various pelvic structures was done separately for each organ. Then the structures were visualized all together. Thus, the hypogastric plexus could be examined under various incidences with each organ. The virtual images obtained show new details of the topographic relations and improve knowledge of the precise innervation of the pelvic organs.

Female↗

Development of a general nutrition knowledge questionnaire for adults.

OBJECTIVE: This paper describes the development of a reliable and valid questionnaire to provide a comprehensive measure of the nutritional knowledge of UK adults. The instrument will help to identify areas of weakness in people's understanding of healthy eating and will also provide useful data for examining the relationship between nutrition knowledge and dietary behaviour which, up until now, has been far from clear. DESIGN: Items were generated paying particular attention to content validity. The initial version of the questionnaire was piloted and assessed on psychometric criteria. Items which did not reach acceptable validity were excluded, and the final 50 item version was administered to two groups differing in nutritional expertise on two occasions to assess the construct validity and test-retest reliability. SETTING: The questionnaire was developed in 1994 in the UK. SUBJECTS: Three hundred and ninety-one members of the general public, recruited via their places of work, completed the questionnaire at the piloting stage. The final version was administered to 168 dietetics and computer science students following a university lecture. RESULTS: The internal consistency of each section was high (Cronbach's alpha = 0.70-0.97) and the test-retest reliability was also well above the minimum requirement of 0.7. Nutrition experts scored significantly better than computer experts [F(1167) = 200.5, P<0.001], suggesting good construct validity. CONCLUSIONS: The findings demonstrate that the instrument meets psychometric criteria for reliability and construct validity. It should provide a useful scale with which to reassess the relationship between knowledge and dietary behaviour.

Adolescent↗

Towards automatic clustering of protein sequences.

Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we investigate in the problem of automatic clustering of unlabeled protein sequences. As a widely recognized technique in statistics and computer science, clustering has been proven very useful in detecting unknown object categories and revealing hidden correlations among objects. One difficulty that prevents clustering from being performed directly on protein sequence is the lack of an effective similarity measure that can be computed efficiently. Therefore, we propose a novel model for protein sequence cluster by exploring significant statistical properties possessed by the sequences. The concept of imprecise probabilities are introduced to the original probabilistic suffix tree to monitor the convergence of the empirical measurement and to guide the clustering process. It has been demonstrated that the proposed method can successfully discover meaningful families without the necessity of learning models of different families from pre-labeled "training data".

Algorithms↗

Informatics education and the professions.

This Perspectives is the outgrowth of work begun at Maryland under the Informatics Task Force and its national and international advisory groups. In a theoretical discussion of what information science can contribute to the health professions, the authors address questions of definition and describe application and knowledge models for the emerging profession of informatics. A review of existing programs includes curriculum models and provides details on informatics programs emphasizing information and computer science; programs emphasizing the health sciences; and specialized informatics programs (undergraduate, master, and doctoral level). Focus is placed on models for informatics program development. The authors hope to build upon the database reported on in this article, and thereby foster the informatics education for the professions.

Canada↗

Web-based multimedia courseware for emergency cardiac patient management simulations.

This is a multidisciplinary inter-departmental/faculty project between the departments of computer science, electronic, communications and electrical engineering and nursing and paramedic sciences. The objective is to develop a web based multimedia front end to existing simulations of cardiac emergency scenaria. It will be used firstly in the teaching of nurses. The University of Hertfordshire is the only University in Britain using simulations of cardiac emergency scenaria for nurse and paramedic science education and therefore this project will add the multimedia dimension in distributed courses over the web and will assess the improvement in the educational process. The use of network and multimedia technologies, provide interactive learning, immediate feedback to students' responses, individually tailored instructions, objective testing and entertaining delivery. The end product of this project will serve as interactive material to enhance experiential learning for nursing students using the simulations of cardiac emergency scenaria. The emergency treatment simulations have been developed using VisSim and may be compiled as C code. The objective of the project is to provide a web based user friendly multimedia interface in order to demonstrate the way in which patients may be managed in critical situations by applying advanced technological equipment and drug administration. Then the user will be able to better appreciate the concepts involved by running the VisSim simulations. The evaluation group for the proposed software will be the Department of Nursing and Paramedic Sciences About 200 nurses use simulations every year for training purposes as part of their course requirements.

Allied Health Personnel↗

Application of artificial intelligence to pharmacy and medicine.

Artificial intelligence (AI) is a branch of computer science dealing with solving problems using symbolic programming. It has evolved into a problem solving science with applications in business, engineering, and health care. One application of AI is expert system development. An expert system consists of a knowledge base and inference engine, coupled with a user interface. A crucial aspect of expert system development is knowledge acquisition and implementing computable ways to solve problems. There have been several expert systems developed in medicine to assist physicians with medical diagnosis. Recently, several programs focusing on drug therapy have been described. They provide guidance on drug interactions, drug therapy monitoring, and drug formulary selection. There are many aspects of pharmacy that AI can have an impact on and the reader is challenged to consider these possibilities because they may some day become a reality in pharmacy.

Artificial Intelligence↗

Neural networks as a new method for EEG analysis. A basic introduction.

This paper discusses the general usability of artificial neural networks for the analysis of EEG data. The advantages and drawbacks of this new technology are compared, especially from the perspective of medical computer science. Furthermore this text clarifies the fundamental principles of neural networks, the relations to the biological model and how they compare to classical evaluation methods.

Electroencephalography↗

An information extraction and representation system for rapid review of the biomedical literature.

With the rapid expansion of scientific research, the ability to effectively find or integrate new domain knowledge in the sciences is proving increasingly difficult. The development of methods and tools for assisting researchers to effectively ex-tract problem-oriented knowledge from heterogeneous and massive information sources, and for using this knowledge in problem-solving is one of the most fundamental research directions for the information and computer sciences today. There is a need for new tools to support more precise identification of relevant research articles and provide visual clues regarding relationships among the document sets. We present the Telemakus system in which aggregated citation information and extracted research findings are displayed in a schema-based document surrogate and an interactive mapping tool provides graphical displays of research inter-relationships from documents across a domain. This system is an innovative approach to creating useful and precise document surrogates and may re-conceptualize the way we currently represent, retrieve, and assimilate research findings from the published literature.

Biomedical Research↗

Prospects for automated cytology.

Rescreening of Pap smears using automated devices offers the ability to re-examine Paps initially interpreted as within normal limits and to use cell-sorting technology to increase the detection of missed abnormal smears. Only recently has the development of high-resolution imaging techniques and advances in computer sciences and cell classifiers enabled investigators to achieve sensitivity and specificity levels in automated screening and quality control devices.

Confidence Intervals↗

Artificial intelligence in medicine.

INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. METHODS: Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. RESULTS: The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. DISCUSSION: Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting.

Artificial Intelligence↗

Report of research activities in fuzzy AI and medicine at USF CSE.

Several projects involving the use of fuzzy and neuro-fuzzy methods in medical applications, developed by members of the Department of Computer Science and Engineering, University of South Florida, Tampa, Florida, are briefly reviewed. The successful applications are emphasized.

Artificial Intelligence↗

[Real-time collection of obstetrical and neonatal data. 1 years' experience].

A real-time program for obstetrical and neonatal data was developed in June 1986 at the maternity hospital in Haguenau. Used routinely, this program has raised comments and controversy. With investigative questionnaires, we have attempted to evaluate how the introduction of computer sciences was perceived by the personnel as well as the patients.

Data Collection↗

[The method and development of computer-assisted surgery].

The methodology and the state of the art of Computer-Assisted Surgery (CAS) are introduced in this paper. Computer-assisted surgery is a new high technology which uses computer science, biomedical engineering, mechanism, mathematics, surgery, and so on. Its objective is to help surgeons use multimodal data, such as CT, MRI, DSA, PET, et al. in a rational and quantitative way in order to plan and perform medical intervention. Stereotactic localization method and registration are two cruxes in computer-assisted surgery. There are several methods for localization and registration. In recent ten years, computer-assisted surgery has been a cynosure of scientists. Some computer-assisted surgery systems have been used in clinical practice.

General Surgery↗

[Computer stimulation of endoscopic resection of the prostate].

The number of urologists in need of training is increasing whereas the number of resections of the prostate is falling. Patients are less and less willing to have their procedure serve for young residents to learn the technique of endoscopic resection of the prostate. Despite teachings and videoendoscopy, this procedure remains difficult to learn. We decided to develop a simulator for endoscopic resection after having seen the remarkable model of endoscopic simulation developed by French gastroenterologists and presented at the computer science workshop of the AFU symposium. The hypercard program, the laservision disk, and the CD ROM project were elected as a good introduction to this challenging although not unsurmountable problem. We had to adequate our goals to the resources of French urologists: the Macintosh II is the most sophisticated affordable computer. Computerization of the televised images of the endoscopic procedure and formalization of the gestures of the operator are required. Conventional image synthesis programs for use with the Mac II are either very slow or very limited. Conventional simulation programs are highly mathematical. Computerized images take up considerable memory space and large capacity disks or optical disks are required. The urologic laservision to which we contributed in 1986 contains few endoscopic images of the prostate but served as a basis for devising a methodology. Object programming with hypercard and animated image programs for Macintosh computers will be the starting points for our project that will benefit from the significant advances announced by Apple concerning color image file maintenance.

Computer Simulation↗

New ideas for affordable space missions

In September 1995, NASA-Goddard held a workshop on low-cost access to space for science missions. The workshop provided briefings on balloons, sounding rockets, Shuttle payloads, and low-cost free-flyer concepts, to provide options of getting experiments into space. This report is the result of a panel session organized with the aim of generating new ideas beyond those presented in the workshop. In addition to the authors, Orlando Figueroa and Paul Ondrus of NASA-Goddard and Richard Zwirnbaum of Computer Sciences Corp. participated in the discussions. The ideas presented do not necessarily reflect the current thinking of NASA managers. Although the panel discussion was focused on the kinds of science missions usually funded by NASA, most of the ideas that were generated are relevant to military and commercial missions as well.

Computer Communication Networks↗

[Computer program "PANCREAS"].

Contemporary computer technology allows precise and fast large database analysis. Widespread and common use depends on appropriate, user friendly software, usually lacking in special medical applications. The aim of this work was to develop an integrated system designed to store, explore and analyze data of patients treated for pancreatic cancer. For that purpose the database administration system MS Visual Fox Pro 3.0 was used and special application, according to ISO 9000 series has been developed. The system works under MS Windows 95 with possibility of easy adaptation to MS Windows 3.11 or MS Windows NT by graphic user's interface. The system stores personal data, laboratory results, visual and histological analyses and information on treatment course and complications. However the system archives them and enables the preparation reports of according to individual and statistical needs. Help and security settings allow to work also for one not familiar with computer science.

Data Display↗

Analysis, forecasting, and control of three-dimensional tumor growth and treatment.

The main point of this contribution is to show how ideas of control theory, automata theory and computer science can be applied to the field of cancer research. We are stressing the modelling of three-dimensional tumor growth and the simulation of different kinds of tumor therapy (surgery, radiation therapy, chemotherapy). In the future it will be possible to schedule the optimized methods and time of tumor treatment by computer simulation prior to clinical therapy.

Cell Communication↗

Emotion-affected decision making in human simulation.

Human modelling is an interdisciplinary research field. The topic, emotion-affected decision making, was originally a cognitive psychology issue, but is now recognized as an important research direction for both computer science and biomedical modelling. The main aim of this paper is to attempt to bridge the gap between psychology and bioengineering in emotion-affected decision making. The work is based on Ortony's theory of emotions and bounded rationality theory, and attempts to connect the emotion process with decision making. A computational emotion model is proposed, and the initial framework of this model in virtual human simulation within the platform of Virtools is presented.

Artificial Intelligence↗