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At least 253 records · Page 14Linked to original sources
PubMed2003

Suicide among North Carolina women, 1989-93: information from two data sources.

OBJECTIVES: To characterize the events and examine suicide precursors among women and to examine gaps in surveillance. SETTING: A statewide study in North Carolina. METHODS: Suicides of women age 15 and older for the time period 1989-93, as identified from the Office of the Chief Medical Examiner, were included. All case files were reviewed by hand and telephone interviews were attempted with investigating law enforcement officials for every case in 1993. RESULTS: Altogether 882 suicides met the case definition, for an age adjusted rate that fluctuated between 5.53 and 7.26 per 100 000 women across the period. Interviews with law enforcement officials were completed for 135 of the 177 cases from 1993. White women had rates nearly three times those of racial minorities. Women under age 45 were proportionally more likely than older women to have recently experienced the breakup of an intimate relationship. Information about precursors was not as consistently reported as had been hoped. Medical examiner records were variable in completeness. Law enforcement interviews frequently did not yield information about the factors we had hoped to examine, probably because the investigations were conducted primarily to rule out homicide. CONCLUSIONS: This study suggests somewhat different precursor patterns by age group. It also points to the need for reconsidering how suicide surveillance is accomplished as a strategy to guide intervention.

Adolescent↗
PubMed2006

Selecting biological data sources and tools with XPR, a path language for RDF.

As the number, richness and diversity of biological sources grow, scientists are increasingly confronted with the problem of selecting appropriate sources and tools. To address this problem, we have designed BioGuidel, a user-centric framework that helps scientists choose sources and tools according to their preferences and strategy, by specifying queries through a user-friendly visual interface. In this paper, we provide a complete RDF representation of BioGuide and introduce XPR (eXtensible Path language for RDF), an extension of FSL2 that is expressive enough to model all BioGuide queries. BioGuide queries modeled as XPR expressions can then be saved, compared, evaluated and exchanged through the Web between users and applications.

Computational Biology↗
PubMed2003

Did maternal mortality ratio increase in Malawi between 1992-1998? Review of Malawi Demographic and Health Surveys and other data sources.

Despite various programmes aimed at reducing the maternal mortality ratio (MMR) and improving reproductive health globally, and in Malawi especially, the 2000 Malawi Demographic and Health Survey (DHS) reported an MMR for Malawi as 1221 deaths per 100 000 live births. This represented an almost 80% rise from the 620 maternal deaths/100 000 live births estimated in the 1992 DHS. The possible reasons behind the rise in the MMR include: the growing HIV/AIDS pandemic in Malawi with an estimated infection rate of 14%; and the deteriorating healthcare situation and inherent inaccuracies in the estimation of maternal mortality. Continued surveillance and identification of factors responsible for the deterioration of Malawi's MMR are suggested. It is necessary to design, implement and evaluate corrective measures in order to improve the situation.

Female↗
PubMed2026

The Progress of Gout Prediction Models Based on Multi-source Data.

INTRODUCTION: Gout, a highly serious inflammatory disease that is caused by monosodium urate crystals, is becoming an increasingly significant health concern. Artificial Intelligence and multi-omics-based research have made significant gains for the early detection and prevention of gout based on diverse approaches. This review intends to summarize current advances in forecasting gout susceptibility and gout-related symptoms, evaluate the predictive efficacy of different features, and ascertain which clinical and omics characteristics are most effective in these prediction models. METHODS: We explored the PubMed database after 2010 using keywords such as "gout", "predictive model", "risk prediction", and "machine learning", and confined our search to Englishlanguage articles. The original peer-reviewed research articles that developed gout models were selected. Research that was not original or lacked internal validation was excluded. RESULTS: Clinical features, genomics, microbiomics, radiomics, and metabolomics have been utilized to construct models related to gout and have demonstrated excellent predictive performance. Multisource data prediction models usually exhibit better effectiveness. DISCUSSION: Gout-oriented models performed excellently in predictive performance but present limitations in certain clinical and omics domains. However, if they are to affect actual patient care, they must overcome some external confirmation roadblocks and the fiscal and practical implications they will face ahead of time. CONCLUSION: This review indicates that clinical and multi-omics models of gout are significant instruments for clinical decision-making. The models constructed in these studies may be crucial for the treatment of gout and its practical benefits.

Gout↗
PubMed1991

Best kept secrets ... Source Data Systems, Inc. (SDS).

The SDS/MEDNET system is a cost-effective option for small- to medium-size hospitals (up to 400 beds). The parameter-driven system lets users control operations with only occasional SDS assistance. A full application set, available for modular selection to reduce upfront costs while facilitating steady growth and protecting client investment, is adaptable to multi-facility environments. The industry-standard, Intel-based multi-user processors, network communications and protocols assure high efficiency, low-cost solutions independent of any one hardware vendor. Sustained growth in both client base and product offerings point to a high level of responsiveness and healthcare industry commitment. Corporate emphasis on user involvement and open systems integration assures clients of leading-edge capabilities. SDS/MEDNET will be a strong contender in selected marketing environments.

Computer Communication Networks↗
PubMed1999

Using external data sources to improve audit trail analysis.

Audit trail analysis is the primary means of detection of inappropriate use of the medical record. While audit logs contain large amounts of information, the information required to determine useful user-patient relationships is often not present. Adequate information isn't present because most audit trail analysis systems rely on the limited information available within the medical record system. We report a feature of the STAR (System for Text Archive and Retrieval) audit analysis system where information available in the medical record is augmented with external information sources such as: database sources, Light-weight Directory Access Protocol (LDAP) server sources, and World Wide Web (WWW) database sources. We discuss several issues that arise when combining the information from each of these disparate information sources. Furthermore, we explain how the enhanced person specific information obtained can be used to determine user-patient relationships that might signify a motive for inappropriately accessing a patient's medical record.

Computer Security↗