Manual vs. Automated CTA: Optimal Preadmission Staging for Inpatient Mortality from Pneumocystis cariini Pneumonia
Paul R. Yarnold, Ph.D. and Robert C. Soltysik, M.S.
Optimal Data Analysis, LLC
Two severity-of-illness models used for staging risk of in-hospital mortality from AIDS-related Pneumocystis cariini pneumonia (PCP) were developed using hierarchically optimal classification tree analysis (CTA), with models derived manually via UniODA
software. The first of the “Manual vs. Automated CTA” series, this study contrasts classification results between original models and corresponding new models derived using automated analysis. Findings provide superior staging systems which may be employed to improve results of applied research in this area.