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Performance Evaluation of SXI++ and Comparative Triage Machine Learning Models for Enhanced Medical Decision-Making

2025-09-18

Abstract excerpt

Effective triage is vital to prioritize patient care and optimize resource utilization. This study compares traditional machine learning, represented by an XGBoost classifier, with SXI++, a proprietary deep neural network and ensemble learning framework, for predicting Emergency Severity Index (ESI) levels. An emergency department dataset of 560,486 records and 972 features was reduced to 180 through correlation f...

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Literature Corpus work
2290cc8e-1de7-53d4-9866-785017aeca4a
DOI
10.20944/preprints202509.1483.v1
Open publication

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Performance Evaluation of SXI++ and Comparative Triage Machine Learning Models for Enhanced Medical Decision-MakingDOI 10.20944/preprints202509.1483.v1
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