Biomedical subjects

J C Brocklebank

Publications and source records attributed to J C Brocklebank.

3 recordsLinked to original sources

PubMed2001

Applying data mining techniques to the mapping of complex disease genes.

The simulated sequence data for the Genetic Analysis Workshop 12 were analyzed using data mining techniques provided by SAS ENTERPRISE MINER Release 4.0 in addition to traditional statistical tests for linkage and association of genetic markers with disease status. We examined two ways of combining these approaches to make use of the covariate data along with the genotypic data. The result of incorporating data mining techniques with more classical methods is an improvement in the analysis, both by correctly classifying the affection status of more individuals and by locating more single nucleotide polymorphisms related to the disease, relative to analyses that use classical methods alone.

Chromosome Mapping↗

PubMed1978

Drug prescribing during pregnancy. A controlled study of Tennessee Medicaid recipients.

The effect of pregnancy on prescribing was assessed in a population of pregnant Medicaid recipients and two matched groups of control women. Of the 2,528 gravidas, 62 per cent received systemic legend drugs (excluding dietary supplements) during their pregnancies. White women and women 30 years of age and older were most likely to receive these medications. Systemic anti-infectives were the most frequently prescribed category of drugs (excluding dietary supplements). One fourth of the women received a narcotic-containing drug and 13 percent of the women received psychotropic drugs, most frequently diazepam. Barbiturates and narcotic-containing drugs were often "hidden" a fixed combination medication. In general, prescribing did not decrease as a result of pregnancy. This study and other studies reviewed here emphasize the need for comprehensive drug-use guidelines for physicians who care for pregnant women.

Adult↗

PubMed1977

Computerized system for the identification of ingredients of proprietary compounds.

A computerized system which links a code for a prescription drug product with codes for its active ingredients is described. Specialized computer programming techniques were used to insure a rapid system which would fit into the memory of small-to-medium sized computers. The programs are standardized, modular and independent of the codes used for the drugs and their ingredients. Classification of the ingredients in 32,304 prescriptions paid through the Tennessee Medicaid program required less than one minute of computer time on a Xerox Sigma 7 computer and used only 9% of the computer's available memory. The system has potential for use in settings where doctors frequently prescribe combination products.

Computers↗