Automated Severity Classification of AIDS Hospitalizations
Frank W. Stitt,
Ying Lu,
Gordon M. Dickinson and
Nancy G. Klimas
Medical Decision Making, 1991, vol. 11, issue 4_suppl, S41-S45
Abstract:
To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.
Keywords: prognostic staging system; AIDS; staging algorithm; CART (search for similar items in EconPapers)
Date: 1991
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X9101104s06 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:11:y:1991:i:4_suppl:p:s41-s45
DOI: 10.1177/0272989X9101104s06
Access Statistics for this article
More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().