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PubMed1989

Poisonous plant information system (PPIS).

There is a need for efficient storage and retrieval of information about poisonous plants. The purpose of this article is to describe the Poisonous Plant Information System (PPIS) and to discuss basic issues in building and maintaining databases within the larger context of combined veterinary databases. This paper defines the database of PPIS and discusses its contents. Access methods are explained and sample search techniques are given.

Information Systems↗
PubMed2005

CLUE: cluster-based retrieval of images by unsupervised learning.

In a typical content-based image retrieval (CBIR) system, target images (images in the database) are sorted by feature similarities with respect to the query. Similarities among target images are usually ignored. This paper introduces a new technique, cluster-based retrieval of images by unsupervised learning (CLUE), for improving user interaction with image retrieval systems by fully exploiting the similarity information. CLUE retrieves image clusters by applying a graph-theoretic clustering algorithm to a collection of images in the vicinity of the query. Clustering in CLUE is dynamic. In particular, clusters formed depend on which images are retrieved in response to the query. CLUE can be combined with any real-valued symmetric similarity measure (metric or nonmetric). Thus, it may be embedded in many current CBIR systems, including relevance feedback systems. The performance of an experimental image retrieval system using CLUE is evaluated on a database of around 60,000 images from COREL. Empirical results demonstrate improved performance compared with a CBIR system using the same image similarity measure. In addition, results on images returned by Google's Image Search reveal the potential of applying CLUE to real-world image data and integrating CLUE as a part of the interface for keyword-based image retrieval systems.

Algorithms↗
PubMed2004

Introducing a conceptual information retrieval (IR) framework.

This is the third in the series of the articles on an application of the systems analytic approach to evaluation of information retrieval (IR). Previously terminological and evaluation problems associated with IR were identified, and it was proposed that the systems analytic approach can provide solutions to these problems. Here, after the general discussion of a systems approach, different attempts to introduce this approach into IR are presented and critiqued: modelling of IR, identifying boundaries of a system under evaluation, identifying variables under investigation; and creating evaluation frameworks. On the basis of the critique of this work, the authors present their proposal for a solution: first the IR components, their boundaries and relationships are identified, and then the two models of IR are introduced. One of the models addresses components of the IR process and relationships between them, the second one is the process model of IR.

Canada↗
PubMed2004

A reference data set for the evaluation of medical image retrieval systems.

Content-based image retrieval is starting to become an increasingly important factor in medical imaging research and image management systems. Several retrieval systems and methodologies exist and are used in a large variety of applications from automatic labelling of images to diagnostic aid and image classification. Still, it is very hard to compare the performance of these systems as the used databases often contain copyrighted or private images and are thus not interchangeable between research groups, also for patient privacy. Most of the currently used databases for evaluating systems are also fairly small which is partly due to the high cost in obtaining a gold standard or ground truth that is necessary for evaluation. Several large image databases, though without a gold standard, start to be available publicly, for example by the NIH (National Institutes for Health). This article describes the creation of a large medical image database that is used in a teaching file containing more than 8,700 varied medical images. The images are anonymised and can be exchanged free of charge and copyright. Ground truth (a gold standard) has been obtained for a set of 26 images being selected as query topics for content-based query by image example. To reduce the time for the generation of ground truth, pooling methods well known from the text or information retrieval field have been used. Such a database is a good starting point for comparing the current image retrieval systems and to measure the retrieval quality, especially within the context of teaching files, image case databases and the support of teaching. For a comparison of retrieval systems for diagnostic aid, specialised image databases, including the diagnosis and a case description will need to be made available, as well, including gold standards for a proper system evaluation. A first evaluation event for image retrieval is foreseen at the 2004 CLEF conference (Cross Language Evaluation Forum) to compare text-and content-based access mechanism to images.

Databases, Factual↗
PubMed2003

An inductive method for automatic generation of referring physician prefetch rules for PACS.

To prefetch images in a hospital-wide picture archiving and communication system (PACS), a rule must be devised to permit accurate selection of examinations in which a patient's images are stored. We developed an inductive method to compose prefetch rules from practical data which were obtained in a hospital using a decision tree algorithm. Our methods were evaluated on data acquired in Osaka University Hospital for one month. The data collected consisted of 58,617 cases of consultation reservations, 643,797 examination histories of patients, and 323,993 records of image requests in PACS. Four parameters indicating whether the images of the patient were requested or not for each consultation reservation were derived from the database. As a result, the successful selection sensitivity for consultations in which images were requested was approximately 0.8, and the specificity for excluding consultations accurately where images were not requested was approximately 0.7.

Algorithms↗
PubMedDate not supplied

Randomness, redundancy and repair: roles and relevance to biological aging.

In this paper, some of the key findings of the last decade will briefly be surveyed and, where possible, be related to two separate computer simulation models which have been designed to determine the validity of certain widely accepted dogmas and to define the limits and restrictions imposed by attrition of or ambiguity of information retrieval from information storage systems. It is known: (1) that the idealized rectangular survival curve in an "ideal" environment is an extrapolation that is inconsistent with reasonable primary assumptions; (2) that loss of redundant copies of functional "housekeeping" genes may well be a dominant contributor to human senescence; and (3) that redundancy, particularly of informational storage, not only confers greater stability on an organism in dealing with stochastic or programmed age changes, but that it also provides a means through which a more optimized use of informational storage space may be attained.

Aging↗
PubMed2026

Culturally adapted post-diagnostic dementia support for South Asian people living with dementia and caregivers: a rapid review.

BACKGROUND: The number of minority ethnic people living with dementia (PLWD) in the UK is predicted to rise to 50 000 by 2026 and 172 000 by 2051. As the global population ages, there is a greater need to develop culturally appropriate post-diagnostic support for PLWD from minority ethnic backgrounds. METHODS: A rapid review was conducted of culturally adapted post-diagnostic dementia support for South Asian people with dementia and carers. Eight electronic databases were searched from inception until 16 September 2025. Databases included Cumulative Index to Nursing and Allied Health Literature, Excerpta Medica Database, MEDical Literature Analysis and Retrieval System Online, Psychological Information, Turning Research Into Practice, Allied and Complementary Medicine Database, Social Policy and Practice and the Cochrane Database of Systematic Reviews. Two reviewers independently screened the studies. Consistent with rapid review methods, no formal quality assessment of included studies was undertaken. The rapid review adhered to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. RESULTS: Twelve studies were included. These included seven carer support programmes focusing on raising awareness and education on dementia and care. These interventions increased carers' knowledge of dementia and confidence in caregiving. Four studies reported on psychosocial interventions: Cognitive Stimulation Therapy, Cognitive Behaviour Therapy and Meditation Therapy, demonstrating benefits for caregiver burden and mental health. One study reported on service-level innovations through a South Asian link nurse, which improved access to services and facilitated the development of culturally appropriate information materials. CONCLUSION: The findings of this rapid review demonstrate the feasibility and perceived value of culturally sensitive psychoeducation, carer training and psychosocial interventions. However, research remains small-scale, methodologically limited, with little focus given to interventions directly supporting PLWD.

Humans↗
PubMed1996

MITOMAP: a human mitochondrial genome database.

We have developed a comprehensive database (MITOMAP) for the human mitochondrial DNA (mtDNA), the first component of the human genome to be completely sequenced [Anderson et al. (1981) Nature 290, 457-465]. MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation, and gene- gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it may also provide a model for the development of information storage and retrieval systems for other components of the human genome.

Amino Acid Sequence↗
PubMed1997

MITOMAP: an update on the status of the human mitochondrial genome database.

We have continued to develop MITOMAP, a comprehensive database for the human mitochondrial DNA (mtDNA). MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation and gene-gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it will also provide a model for the development of comprehensive, multi-media information storage and retrieval systems for other components of the human genome. This paper is an update of the changes which have occurred to MITOMAP over the past year.

Base Sequence↗
PubMed1987

Evaluation of the effectiveness of a community-based prenatal health education program.

This study demonstrated the importance of outlining evaluation criteria for newly implemented programs. An educational program should have measurable program objectives with which the goals of the program can be evaluated. Along with a clearly defined set of program objectives, new educational programs should be implemented with the appropriate record keeping systems to facilitate information retrieval. With a measurable set of objectives and accurate data collection, ongoing evaluation of programs would enable developers to identify the programs' strengths and weaknesses as a basis for revisions to best meet the needs of the population served.

Chicago↗
PubMed2005

Quantitative point source photoacoustic inversion formulas for scattering and absorbing media.

We present here an expression for the photoacoustic contribution of an optical point source in a diffusive and absorbing medium. By using this measurement as a reference, we present a direct inversion formula that recovers the absorption map quantitatively, at the same time accounting for instrumental factors such as the source strength, the shape of the optical pulse, and the impulse response and finite size of the transducers. We further validate this expression through accurate numerical simulations showing that the absorption map is recovered quantitatively in the presence of a rotating geometry. We finally discuss how the presented solutions for point sources within the photoacoustic problem enable the use of concurrent fluorescence and ultrasound measurements as appropriate for a hybrid tomographic system. The proposed system could retrieve absorption information using photoacoustic measurements, and use these data to more accurately describe the fluorescence problem and improve reconstruction fidelity.

Absorption↗
PubMed1980

Aspects of audit. 5: Looking forward to audit.

Whatever the misgivings of individual doctors, the formal support being given by professional bodies suggests that medical audit will become established in Britain. It is therefore appropriate to heed the advice of pioneers in the field in choosing methods and topics for audit. Practical problems can be anticipated because of the inadequacy of medical records, retrieval systems, and comparable information on practice patterns and evaluation of traditional processes of patient care. The criterion system of audit may provide a common standard for effective review. This can be used for any group of patients with some characteristic in common. It requires good records and a good records staff. Whatever method is adopted, central support should come from the royal colleges, with community physicians and clinical tutors assisting clinicians at the local level.

Information Systems↗
PubMedDate not supplied

Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS.

UNLABELLED: Motivation. The UMLS has been used in natural language processing applications such as information retrieval and information extraction systems. The mapping of free-text to UMLS concepts is important for these applications. To improve the mapping, we need a method to disambiguate terms that possess multiple UMLS concepts. In the general English domain, machine-learning techniques have been applied to sense-tagged corpora, in which senses (or concepts) of ambiguous terms have been annotated (mostly manually). Sense disambiguation classifiers are then derived to determine senses (or concepts) of those ambiguous terms automatically. However, manual annotation of a corpus is an expensive task. We propose an automatic method that constructs sense-tagged corpora for ambiguous terms in the UMLS using MEDLINE abstracts. METHODS: For a term W that represents multiple UMLS concepts, a collection of MEDLINE abstracts that contain W is extracted. For each abstract in the collection, occurrences of concepts that have relations with W as defined in the UMLS are automatically identified. A sense-tagged corpus, in which senses of W are annotated, is then derived based on those identified concepts. The method was evaluated on a set of 35 frequently occurring ambiguous biomedical abbreviations using a gold standard set that was automatically derived. The quality of the derived sense-tagged corpus was measured using precision and recall. RESULTS: The derived sense-tagged corpus had an overall precision of 92.9% and an overall recall of 47.4%. After removing rare senses and ignoring abbreviations with closely related senses, the overall precision was 96.8% and the overall recall was 50.6%. CONCLUSIONS: UMLS conceptual relations and MEDLINE abstracts can be used to automatically acquire knowledge needed for resolving ambiguity when mapping free-text to UMLS concepts.

Abbreviations as Topic↗
PubMed1992

Information architecture: the repository alternative.

The skillful design of an information architecture that suits a healthcare organization is a top priority for information managers. But they have been hampered both in their conceptual approach to managing information flow and their technological capabilities for designing that flow. Information--both clinical and administrative--must be fluid and accessible. These key success factors lie in the increasingly prevalent database repository approach. And the technology is here to make it happen.

Computer Systems↗
PubMed1989

[Professional organ procurement as a prerequisite for attaining the necessary transplantation frequency: experiences with organ distribution at the transplantation center in Vienna].

In the years 1965 to 1988 one or more organs were harvested for the purpose of transplantation from 649 brain dead organ donors reported to the Vienna transplantation centre. Based on a 1982 law regulating organ donation a large number of initiatives aiming at the improvement of the organ procurement system have taken place. In particular, the introduction of a decentralized donor guidance and organ retrieval system, a few information campaigns, as well as the introduction of full-time transplantation coordinators have significantly increased the number of organ donors. This development has made the Vienna transplantation centre one of the largest centres in Europe and has recently resulted in the achievement of a virtual balance between the increase of patients on the waiting list and the growth of the rate of transplantations performed. If this organ procurement policy is consistently continued in the years to come, there is a good chance of ensuring sufficient supply of organs for all patients on waiting lists, at least within the Viennese area.

Austria↗
PubMed1998

Towards knowledge-based retrieval of medical images. The role of semantic indexing, image content representation and knowledge-based retrieval.

Medicine is increasingly image-intensive. The central importance of imaging technologies such as computerized tomography and magnetic resonance imaging in clinical decision making, combined with the trend to store many "traditional" clinical images such as conventional radiographs, microscopic pathology and dermatology images in digital format present both challenges and an opportunities for the designers of clinical information systems. The emergence of Multimedia Electronic Medical Record Systems (MEMRS), architectures that integrate medical images with text-based clinical data, will further hasten this trend. The development of these systems, storing a large and diverse set of medical images, suggests that in the future MEMRS will become important digital libraries supporting patient care, research and education. The representation and retrieval of clinical images within these systems is problematic as conventional database architectures and information retrieval models have, until recently, focused largely on text-based data. Medical imaging data differs in many ways from text-based medical data but perhaps the most important difference is that the information contained within imaging data is fundamentally knowledge-based. New representational and retrieval models for clinical images will be required to address this issue. Within the Image Engine multimedia medical record system project at the University of Pittsburgh we are evolving an approach to representation and retrieval of medical images which combines semantic indexing using the UMLS Metathesuarus, image content-based representation and knowledge-based image analysis.

Abstracting and Indexing↗