Association rules are a data mining technique used to discover frequent patterns in a data
set. In this work, association rules are used in the medical domain, where data sets are …

This work describes our experiences in discovering association rules in medical data to
predict heart disease. We focus on two aspects of this work: mapping medical data to a …

… Author links open overlay panel Cesar A. Santana MD a , Ernest V. Garcia PhD a , Tracy
L. Faber PhD a , Gopi KR Sirineni MD a , Fabio P. … Faber TL, Santana CA, Garcia EV, et al. …

We report herein a new, practical, and economic synthesis of the phosphodiesterase inhibitor
Rolipram on a multigram scale as well as the synthesis of new 4-aryl pyrrolidones and β-…

Background A gender-independent stress normal database and criteria for abnormality for
attenuation-corrected rest-stress technetium 99m sestamibi same-day myocardial perfusion …

Due to the discoveries of large reserves of oil and gas in unconventional reservoirs, the
production of natural gas (NG) has increased significantly, becoming a component of the world's …

We are presently exploring the idea of discovering association rules in medical data. There
are several technical aspects which make this problem challenging. In our case medical data …

The oncostatic effects of melatonin correlate with increased reactive oxygen species (ROS)
levels, but how melatonin induces this ROS generation is unknown. In the present study, we …

An expert system (PERFEX) developed for the computer-assisted interpretation of myocardial
perfusion SPECT studies is now becoming widely available. To date, a systematic …

When exposed to hostile environments such as radiation, physical injuries, chemicals,
pollution, and microorganisms, the skin requires protective chemical molecules and pathways. …