Physician Learning and Clinical Decision Support Systems

Despite the documented benefits of clinical decision support systems in reducing the number of adverse drug events (ADEs) and medication errors, their adoption has been very limited. In this paper, we propose a clinical learning model that incorporates the use of a Clinical Decision Support System (CDSS) to improve the decisions on the initial drug selection and ongoing dosage and application. The model allows for the analytical investigation of the effects of different CDSS functionalities on clinical learning. The analytical results suggest that using CDSS to improve drug selection decisions positively influences the importance of the patient-level information for the physician. On the other hand, absent improvements in successful drug selection, the use of CDSS may in fact negatively influence the clinical learning

GGE biplot analysis of reactions of bread wheat pure lines selected from central anatolian landraces of Turkey to leaf rust disease (Puccinia triticina) in multiple location-years

The present study was conducted to determine the reactions of 88 bread wheat pure lines selected from landraces collected in Central Anatolian Region of Turkey against leaf rust (Puccinia triticina) under field conditions in 7 locations. GGE biplot analysis was used to determine the reactions of landrace genotypes against the disease. The GGE biplot explained 73.89% of total variation. Among the experimental locations, 6 (except for E3) were placed close to each other over the biplot graph, indicating two apparent mega-environments. The GGE biplot visually displayed the resistance and stability of the pure lines to leaf rust. The landrace genotypes L18, L19, L45, and L2 were identified as the most resistant/stable genotypes in all environments and L31 and L56 were the most susceptible/stable genotypes

Characterization of Local Sorghum (Sorghum bicolor L.) Population Grains in Terms of Nutritional Properties and Evaluation by GT Biplot Approach

This study is conducted to characterize some nutritional attributes and starch properties of 156 Turkish sorghum populations and 4 standard cultivars (Sorghum bicolor L.). Crude protein contents of the populations vary between 6.67% and 14.33%, digestible protein ratios between 6.67% and 82.24%, crude oil contents between 2.15% and 6.40%, phytic acid contents between 0.37% and 4.09%, resistant starch between 1.10% and 34.23%, nonresistant starch between 10.79% and 79.61%, total starch between 15.42% and 85.54%, amylose between 5.67% and 43.48%, amylopectin between 9.45% and 65.67%, total phenolic between 0.19% and 5.06 mg GAE/g and antiradical activity between 3.72% and 91.48%. Significant differences are obtained from starch-based Rapid Visco Analyzer parameters of sorghum genotypes. As compared standard cultivars, several superior genotypes are identified in terms of nutritional characteristics. Genotype treatment (GT) biplot analysis revealed ideal genotypes for investigated parameters. Present findings confirmed that there are many genotypes with superior nutritional properties in local sorghum genotypes

Nonparametric stability methods for interpreting genotype by environment interaction of bread wheat genotypes (Triticum aestivum L.)

Evaluation of performance stability and high yield is essential for yield trials conducted in different environments. We determined the stability of 10 bread wheat (Triticum aestivum L.) genotypes (5 cultivars and 5 advanced lines) using nonparametric stability measures and compared nonparametric stability statistics across 19 environments in the Central Anatolian Region of Turkey. Experiments were setup in a randomized complete block design with four replications. Nonparametric stability measures revealed that AL-2, Karahan-99 and Altay-2000 were the most stable and well adapted genotypes across the 19 environments. In addition, it was concluded that graphs of mean grain yield (t ha-1) vs. nonparametric measures (Si(¹), Si(²), S(³), Si(6) and σgy) values and kr vs. σr values could enhance visual efficiency of genotype selection based on genotype by environment interaction. Furthermore, high TOP values, Si(³) and Si(6) were associated with high grain yield, but the other nonparametric stability measures were not positively correlated with grain yield and instead characterized a static concept of stability. Choice of genotype for increased grain yield in bread wheat would, therefore, be expected to change yield stability by increasing the values of the Si(³), Si(6) and TOP nonparametric stability statistics