Feature importance analysis for patient management decisions
2010 · in (MEDINFO 2010)
Abstract
The objective of this paper is to understand what characteris-tics and features of clinical data influence physician.s deci-sion about ordering laboratory tests or prescribing medica-tions the most. We conduct our analysis on data and decisions extracted from electronic health records of 4486 post-surgical cardiac patients. The summary statistics for 335 different lab order decisions and 407 medication decisions are reported. We show that in many cases, physician.s lab-order and medication decisions are predicted well by simple patterns such as last value of a single test result, time since a certain lab test was ordered or time since certain procedure was executed.
PDF · International Congress on Medical Informatics · bibtex · DOI


