Abstract
Patient diagnosis and treatment involves factors that occur at different times. In order to identify as early as possible those factors associated with excessive length of stay in a hospital, time staging was added to induced decision trees. Time-staged induced decision trees uncovered useful patterns in data from the earliest time period, which represents a patient’s medical history, even though linear regression did not identify any significant variables in this data.
Recommended Citation
Murphy, Catherine, "Induced Decision Trees for Temporal Medical Data" (1998). AMCIS 1998 Proceedings. 66.
https://aisel.aisnet.org/amcis1998/66
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