rdlc data matrix

rdlc data matrix

rdlc data matrix

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rdlc data matrix

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1. A SSUMPTIONS AND S TEREOTYPES . One explanation for disparities in care relates to the assumptions held by health providers about racial and ethnic groups. Race-based health research and practice reveal a series of dubious assumptions and negative pro les of African American and other patients of color that lead to inferior medical treatment. Medicine sometimes attaches characteristics to particular racial and ethnic groups, and physicians

Our previous work with continuous GAs (Haupt and Haupt, 1998) devised a simple check to determine the best population size and mutation rate The results of the numerical experiments suggest that the best mutation rate for GAs used on the problems presented (Haupt and Haupt, 2000) lies between 5 and 20% while the population size should be less than 16 Parameter settings are sensitive to the cost functions, options in the GAs, bounds on the parameters, and performance indicators Consequently different studies result in different conclusions about the optimum parameter values Davis (1989) recognized this problem and outlined a method of adapting the parameter settings during a run of a GA (Davis, 1991a) He does this by including operator performance in the cost Operator performance is the cost reduction caused by the operator divided by the number of children created by the operator.

365 Puerto Ricans, view of Western medicine, 277 QT, prolonged, 93 Quality mandate, 222 223 Race-based health disparities, 271 278, 291 316 Race-based research, 302 304 Race/ethnicity biological concepts of, 269 271 con dentiality and, 18 de ned, 268 as a diagnostic proxy, 255 differentiation by, 252 genetic variability and, 278 280 in haplotype mapping, 305 306 medical differences and, 313 in pharmacogenetics and pharmacogenomics, 148 150 pharmacogenomic differences and, 292 294, 308 309 public and private uses in pharmacogenomic medicine, 300 306 research participation and, 7 in research, 270, 279, 329 330 studies of, 149 trust levels and, 11 Racial classi cations constitutional status of, 294 299 impermissible uses of, 309 311 past use of, 297 Racial/ethnic groups denial of drugs for, 178 179 health care vouchers for, 311 oversampling of, 6 7 susceptibility testing for, 306 307 Racial pro ling, 149 Racism access to care and, 268 genomics research and, 75 79 Random mating, 55 Rapid drug response, 177 Rare disease markets, 130 Ras farnesyl transferase inhibitors, 127 Rasmussen Research telephone survey, 5

(6.8)

Traditionally large populations have been used to thoroughly explore complicated cost surfaces Crossover is then the operator of choice to exploit promising regions of phase space by combining information from promising solutions The role of mutation is somewhat nebulous As stated by B ck and Schutz (1996a), mutation is typically considered as a secondary operator of little importance Like us, he found that larger values than typically used are best for the early stages of a GA run In one sense, greater exploration is achieved if the mutation rate is great enough to take the gene into a different region of solution space Yet a mutation in the less critical genes may result in further exploiting the current region Perhaps the larger mutation rates combined with the lower population sizes act to cover both properties without the large number of function evaluations required for large population sizes.

10

Iterative approaches where mutation rate varies over the course of a run such as done by B ck (1996a, b) and Davis (1991b) are likely optimal, but they require a more complex approach and algorithm Note that when continuous variables, small population sizes, large mutation rates, and an adaptive mutation rate are used, the algorithm begins to lurk more in the realms of what has been traditionally referred to as evolutionary strategies We feel that names are a moot point and choose to do what we nd works best for a problem In par-.