Analysis of Intraoperative Blood Pressure Time Series and Extraction of Features predictive of 30-day mortality

Poster Number: P207
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Information Extraction, Surgery, Evaluation
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

This study investigates intraoperative Mean Arterial Blood Pressure (MAP) time series data and calculated features predictive of 30 day mortality following non-cardiac surgeries. Employing advanced analytics and logistic regression, 20 MAP features were discerned, pinpointing significant mortality risk indicators. This approach, integrating detailed MAP feature analysis with statistical modeling, is challenging the conventional threshold-based assessments, presenting an alternative method for evaluating risks and refining postoperative care strategies.

Speaker(s):
Sadia Afreen, Research Assistant
INDIANA UNIVERSITY INDIANAPOLIS

Author(s):
FNU Sadia Afreen, Research Assistant - INDIANA UNIVERSITY PURDUE UNIVERSITY INDIANAPOLIS; Cristina Barboi, MD - Indiana University; Shikhar Shukla, Health Informatics - Indiana University; Amulya Veldandi, Health Informatics - Indiana University;