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PubMed2001

Using questions and interests to guide data mining for medical quality management.

The healthcare sector is currently facing both the economic necessity and the technical opportunity of a data based approach to quality management. Against this background, a process model for such a data based medical quality management is proposed and intelligent data mining methods are applied to patient data. Intelligent data mining incorporates advantages of both knowledge acquisition from data and from experts. A controlled language for business questions is presented which abstracts from database and data mining terminology to allow high-level interaction. Objective and subjective interestingness of results is measured and used to filter and sort.

Artificial Intelligence↗
PubMed2001

A chloroplast protein homologous to the eubacterial topological specificity factor minE plays a role in chloroplast division.

We report the identification of a nucleus-encoded minE gene, designated AtMinE1, of Arabidopsis. The encoded AtMinE1 protein possesses both N- and C-terminal extensions, relative to the eubacterial and algal chloroplast-encoded MinE proteins. The N-terminal extension functioned as a chloroplast-targeting transit peptide, as revealed by a transient expression assay using an N terminus:green fluorescent protein fusion. Histochemical beta-glucuronidase staining of transgenic Arabidopsis lines harboring an AtMinE1 promoter::uidA reporter fusion unveiled specific activation of the promoter in green tissues, especially at the shoot apex, which suggests a requirement for cell division-associated AtMinE1 expression for proplastid division in green tissues. In addition, we generated transgenic plants overexpressing a full-length AtMinE1 cDNA and examined the subcellular structures of those plants. Giant heteromorphic chloroplasts were observed in transgenic plants, with a reduced number per cell, whereas mitochondrial morphology remained similar to that of wild-type plants. Taken together, these observations suggest that MinE is the third conserved component involved in chloroplast division.

Amino Acid Sequence↗
PubMed2000

[Injuries of the extremities caused by high energy gunshots and land-mines].

Hospital records of patients who had extremity injuries caused by high energy gunshots and and land-mines and treated in Sirnak Military Hospital between January 1997 and July 1999 were reviewed retrospectively. Among 236 cases 147 (62.3%) had lower extremity wounds and 89 (37.7%) had upper extremity wounds. The most frequently injured part was hands for the upper extremity and feet for the lower extremity. The most dramatic wounds were caused by stepping on anti personnel mines trapped with anti tank mines. The localization and the extension of the wounds varies with type and power of the gun, the position of the victim at the time of explosion and the distance between the victim and the gun.

Adult↗
PubMedDate not supplied

Data mining methods for improving birth outcomes prediction.

Data mining is a research method that is increasingly being used to predict clinical outcomes, for example, cancer or AIDS survival, diagnostic accuracy in abdominal pain or brain tumors, and much more. In clinical practice, predicting which patients will deliver preterm versus full term remains a complex clinical problem for families and the healthcare system. Exploratory data mining was used for predicting birth outcomes in a racially diverse sample (n = 19,970). Duke University provided data (1622 variables) for data mining methods that found 7 demographic variables yielded .72 area under the curve for receiver operating characteristic (ROC) analyses, suggesting that a parsimonious set of preterm birth outcomes predictors may be possible. Improved prediction is needed for interventions to be appropriately targeted for improved birth outcomes management.

Databases, Factual↗
PubMed2004

Genetics of metal resistance in acidophilic prokaryotes of acidic mine environments.

Acidophilic bacteria inhabiting acidic mine regions cause natural leaching of sulphidic ores. They are now exploited in industrial operations for leaching of metals and beneficiation of low-grade and recalcitrant ores. Recent trends emphasize application of thermoacidophiles and genetic engineering of ore-leaching bacteria for greater success in this area. This requires an in-depth understanding on the molecular genetics of these bacteria and construction of cloning vectors for them. Metal resistance is considered as the most suitable phenotypic trait for cloning vectors of bio-mining chemolithoautotrophic (viz. Acidithiobacillus ferrooxidans) and heterotrophic (Acidiphilium and Acidocella species) bacteria of mine environments. These bacteria take part in ore-leaching either directly or indirectly, exhibit low to high level of resistance/tolerance to various metals under different conditions. Majority of these bacteria contain one or more plasmids--the genetic elements that usually carry metal resistant genes. But none of the At. ferrooxidans plasmids has been definitely proved to harbour metal-resistant genes which have mostly been found in the chromosome of this bacterium. Plasmids of acidophilic heterotrophs of the genera Acidiphilium and Acidocella, on the other hand, carry metal resistant genes. While genes bestowing arsenic resistance in Acidiphilium multivorum are similar to those analyzed from other sources, the metal (Cd and Zn)-resistance conferring cloned plasmid DNA fragments from Acidiphilium symbioticum KM2 and Acidocella GS19h strains were found to have no sequence similarity with the reported Cd- and Zn-resistant genes. Such observations indicate some novel aspects of metal resistance in acidophilic bacteria.

Acetobacteraceae↗
PubMed2005

Using ontologies in PROTEUS for modeling proteomics data mining applications.

Bioinformatics applications are often characterized by a combination of (pre) processing of raw data representing biological elements, (e.g. sequence alignment, structure prediction), and an high level data mining analysis. Developing such applications needs knowledge of both data mining and bioinformatics domains, that can be effectively achieved by combining ontology about the application domain and ontology about the approaches and processes to solve the given problem. In this paper we talk about using ontologies to model proteomics in silico experiments. In particular data mining of mass spectrometry proteomics data is considered.

Computational Biology↗
PubMed2006

[Estimation of a nationwide statistics of hernia operation applying data mining technique to the National Health Insurance Database].

OBJECTIVES: The aim of this study is to develop a methodology for estimating a nationwide statistic for hernia operations with using the claim database of the Korea Health Insurance Cooperation (KHIC). METHODS: According to the insurance claim procedures, the claim database was divided into the electronic data interchange database (EDI_DB) and the sheet database (Paper_DB). Although the EDI_DB has operation and management codes showing the facts and kinds of operations, the Paper_DB doesn't. Using the hernia matched management code in the EDI_DB, the cases of hernia surgery were extracted. For drawing the potential cases from the Paper_DB, which doesn't have the code, the predictive model was developed using the data mining technique called SEMMA. The claim sheets of the cases that showed a predictive probability of an operation over the threshold, as was decided by the ROC curve, were identified in order to get the positive predictive value as an index of usefulness for the predictive model. RESULTS: Of the claim databases in 2004, 14,386 cases had hernia related management codes with using the EDI system. For fitting the models with applying the data mining technique, logistic regression was chosen rather than the neural network method or the decision tree method. From the Paper_DB, 1,019 cases were extracted as potential cases. Direct review of the sheets of the extracted cases showed that the positive predictive value was 95.3%. CONCLUSIONS: The results suggested that applying the data mining technique to the claim database in the KHIC for estimating the nationwide surgical statistics would be useful from the aspect of execution and cost-effectiveness.

Adolescent↗
PubMed2007

An intelligent data mining model approach for adverse effects of hormone replacement therapy.

OBJECTIVES: A number of controversial studies have been reported on the potential risk of breast cancer caused by hormone replacement therapy (HRT). Some studies showed a positive relationship between HRT and breast cancer onset, but other studies have not confirmed these results. To clarify the contradictory outcomes in the relationships between HRT and the onset of breast cancer, we have designed an intelligent data mining model (IDM), which is able to find proper prognostic factors for cancer onset and provides alternate measures in interpretation of outcome of clinical data through hierarchies of attributes. METHODS: Based on the selection criteria, we selected 22 sets of random and case-control studies of the last 15 years, which identified any involvements of HRT with breast cancer. We analyzed the relationship between HRT and breast cancer using an IDM model consisting of data mining algorithms and public domain data mining tools. Prognostic factors which underline the major etiological dispositions of breast cancer were identified. RESULTS: The variables which are closely associated with cancer onset to some degree are age 60-69, age at menopause 40-49, parity 0, age 40-49, and types of menopause oophorectomy. An implementation of IDM model on overall pooled data indicated that there is no significant relationship between breast cancer onset and HRT. It is suggested that HRT patients with specific physiological and pathological conditions related with the higher ranks of prognostic factors may have a greater chance to get breast cancer. CONCLUSION: The results of this study may guide biomedical research directed at establishing the causal relationships between various medications and their complications, allowing an accurate assessment of efficacy and side effects of new therapeutic treatment in clinical trials without reliance on a large control population.

Adult↗
PubMedDate not supplied

[Preliminary radiation hygiene evaluation of the meat of animals whose feed was supplemented with mine water].

Experiments were conducted on pigs given mine water as a salt additive to their food ration. The passing of radioactive substances from the mine water into the muscle and bone tissues of the animals was studied. It was shown that the levels of Sr-90, Cs-137, Ra-226 and U entering the body with the meat of pigs receiving food with mine salt water were significantly lower than their annual ingress limits.

Animal Feed↗
PubMed1995

Injuries due to antipersonnel land mines in Sri Lanka.

This series comprises 191 victims injured by antipersonnel land mines in the North-east of Sri Lanka. The pattern of mine injuries is described and the injuries to the lower limb are classified according to the level of injury. Injuries to the lower limb were the commonest and over 73% required a below knee amputation. Recommendations are made for the improved care of these victims. The socio-economic effects of mines experienced by other countries affected by internal conflicts are described. The preventive measures that could be taken to avert such a situation in Sri Lanka are stressed.

Amputation, Surgical↗
PubMed1997

Data mining issues for improved birth outcomes.

Issues obstructing progress in data mining for improved health outcomes include data quality problems, data redundancy, data inconsistency, repeated measures, temporal (time-contextual) measures, and data volume. Related issues involve theoretical and technical problems involving uncertainty management, missing data and missing values, and matching appropriate data mining techniques to patient data sets. Results of data mining research in progress are reported for Duke University's perinatal database that contains nearly a decade of clinical patient data, 71,753 database (patient) records and 4-5000 variables per patient.

Artificial Intelligence↗
PubMed1996

Risk of silicosis in a Colorado mining community.

We investigated exposure-response relations for silicosis among 134 men over age 40 who had been identified in a previous community-based random sample study in a mining town. Thirty-two percent of the 100 dust-exposed subjects had radiologic profusions of small opacities of I/O or greater at a mean time since first silica exposure of 36.1 years. Of miners with cumulative silica exposures of 2 mg/m3-years or less, 20% had silicosis; of miners accumulating > 2 mg/m3 years, 63% had silicosis. Average silica exposure was also strongly associated with silicosis prevalence rates, with 13% silicotics among those with average exposure of 0.025-0.05 mg/m3, 34% among those with exposures of > 0.05-0.1 mg/m3, and 75% among those with average exposures > 0.1 mg/m3. Logistic regression models demonstrated that time since last silica exposure and either cumulative silica exposure or a combination of average silica exposure and duration of exposure predicted silicosis risk. Exposure-response relations were substantially higher using measured silica exposures than using estimated silica exposures based on measured dust exposures assuming a constant silica proportion of dust, consistent with less exposure misclassification. The risk of silicosis found in this study is higher than has been found in workforce studies having no follow-up of those leaving the mining industry and in studies without job title-specific silica measurements, but comparable to several recent studies of dust exposure-response relationships which suggest that a permissible exposure limit of 0.1 mg/m3 for silica does not protect against radiologic silicosis.

Adult↗
PubMed1978

Gastric cancer in a coal mining region.

A significant excess incidence of gastric cancer was previously reported in the coal mining counties of Utah for 1965-1969. A repeat study for the period 1970-1975 showed the rates to be close to expectation and are in line with the slight excess mortality reported by Creagan et al. from United States coal mining counties. A cluster of 12 cases out of 43 reported for the 11-year period occurred in 1965. Cases during 1966-1975 appear to have occurred at random by year. The previous suggestion that the high incidence of gastric cancer in Carbon and Emery Counties could be related to frequent exposure to coal-carrying hydrocarbons appears to be unwarranted.

Adolescent↗
PubMed1983

Gastric cancer and coal mine dust exposure. A case-control study.

Based on evidence that coal miners have elevated gastric cancer mortality rates, a case-control study was developed to assess the gastric cancer risk of coal mine dust exposure. Forty-six cases of US white male gastric cancer deaths from NIOSH coal miner cohorts were individually matched by age to controls. From these data we show that a statistically elevated gastric cancer risk exists for miners who have prolonged exposure to coal mine dust and prolonged exposure to cigarette smoke. Coal workers' pneumoconiosis, a disease defined in terms of coal dust deposition in the lungs, was not found to be a gastric cancer risk.

Coal Mining↗
PubMed2000

Slip and fall-related injuries in relation to environmental cold and work location in above-ground coal mining operations.

BACKGROUND: The association between slip and fall-related injuries and environmental temperature was examined for mostly enclosed (inside vehicles, machinery, or buildings), outdoor (outside, not enclosed), and enclosed/outdoor jobs in the coal mining industry to see if differences existed among the three work locations that had varying exposure to cold temperatures. METHODS: Temperature data from the National Climatic Data Center and injury data from the Mine Safety and Health Administration were evaluated from 1985-1990 for seven states. Proportionate methods were used to examine the relationship between slips and falls and temperature. RESULTS: Proportionate injury ratios of slips and fall-related injuries increased as temperature declined for all three work locations. Proportion of slips and fall-related injuries that occurred while running/walking increased with declining temperature, with the ground outside as the most common source of these injuries. CONCLUSIONS: Outside movement becomes a greater hazard at freezing temperatures for workers in all locations, not just outdoor workers. Any intervention methods geared toward reducing injury incidents facilitated by cold weather must also be directed toward workers who spend time in more enclosed locations.

Accidental Falls↗
PubMed2000

Occupational injuries in the mining industry and their association with statewide cold ambient temperatures in the USA.

BACKGROUND: Relatively few occupational epidemiological studies have been conducted concerning the association between cold ambient temperatures and cold exposure injuries, and fewer still of traumatic occupational injuries and cold ambient temperatures. METHODS: The association of ambient temperature and wind data from the National Climatic Data Center with injury data from mines reported to the Mine Safety and Health Administration (MSHA) was evaluated over a 6 year period from 1985-1990; 72,716 injuries from the seven states with the most numerous injuries were included. Temperature and wind data from each state's metropolitan weather stations were averaged for each day of the 6 year period. A weighted linear regression tested the relationship of ungrouped daily temperature and injury rate for all injury classes. For cold exposure injuries and fall injuries, relative incidence rates for grouped temperature data were fit with Poisson regression. RESULTS: As temperatures decreased, injury rates increased for both cold exposure injuries and slip and fall injuries. The association of slip and fall injuries with temperature was inverse but not strictly linear. The strongest association appeared with temperatures 29 degrees F and below. The injury rates for other accident categories increased with increasing ambient temperatures. CONCLUSIONS: This study suggests that statewide average ambient temperature reflects the expected association between the thermal environment and cold exposure injuries for workers, but more importantly, documents an association between ambient temperatures and occupational slip and fall injuries.

Accidental Falls↗
PubMed2003

Exposing the "myth" of ABC, "anything but chrysotile": a critique of the Canadian asbestos mining industry and McGill University chrysotile studies.

BACKGROUND: Beginning in the 1930s, the Canadian asbestos industry created and advanced the idea that chrysotile asbestos is safer than asbestos of other fiber types. METHODS: We critically evaluate published and unpublished studies funded by the Quebec Asbestos Mining Association (QAMA) and performed by researchers at McGill University. RESULTS: QAMA-funded researchers put forth several myths purporting that Quebec-mined chrysotile was harmless, and contended that the contamination of chrysotile with oils, tremolite, or crocidolite was the source of occupational health risk. In addition, QAMA-funded researchers manipulated data and used unsound sampling and analysis techniques to back up their contention that chrysotile was "essentially innocuous." CONCLUSIONS: These studies were used to promote the marketing and sales of asbestos, and have had a substantial effect on policy and occupational health litigation. Asbestos manufacturing companies and the Canadian government continue to use them to promote the use of asbestos in Europe and in developing countries. Am. J. Ind. Med. 44:540-557, 2003.

Asbestos↗
PubMed1983

An epidemiological study of salt miners in diesel and nondiesel mines.

A cross-sectional study of 5 NaCl mines and 259 miners addressed the following questions: 1) Is there an association of increased respiratory symptoms, radiographic findings, and reduced pulmonary function with exposure to nitrogen dioxide (NO2) and/or respirable particulate (RP) among these miners? 2) Is there increased morbidity of these miners compared to other working populations? Personal samples of NO2 and respirable particulate for jobs in each mine were used to estimate cumulative exposure. NO2 is used as a surrogate measure of diesel exposure. Cough was associated with age and smoking, dyspnea with age; neither symptom was associated with exposure (years worked, estimated cumulative NO2 or RP exposure). Phlegm was associated with age, smoking, and exposure. Reduced pulmonary function (FVC, FEV1, peak, flow, FEF50, FEF75) showed no association with exposure. There was one case of small rounded and one case of small irregular opacities; pneumoconiosis was not analyzed further. Compared to underground coal miners, above ground coal miners, potash miners, and nonmining workers, the study population after adjustment for age and smoking generally showed no increased prevalence of cough, phlegm, dyspnea, or obstruction (FEV1/FVC less than 0.7). Obstruction in younger salt miners and phlegm in older salt miners was elevated compared to nonmining workers. Mean predicted pulmonary function was reduced 2-4% for FEV1 and FVC, 7-13% for FEF50, and 18-22% for FEF75 below all comparison populations.

Adult↗