Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients-Reference-Cited by-同舟云学术

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Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Danda Jagan Moahan Reddy¹,Priyansh Kumar¹,Shahriar Hossain²,Haddad Hisham³,Cuzzocrea Alfredo⁴,Sakib Nazmus¹

Affiliation:

1. University at Buffalo,Dept. of CSE,Buffalo,NY,USA

2. Kennesaw State University,Department of Information Technology,Georgia,United States

3. Kennesaw State University,Department of Computer Science,Georgia,United States

4. University of Calabria,iDEA Lab,Rende,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842480.pdf?arnumber=9842480

Reference16 articles.

1. Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model

2. Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture

3. Severe sepsis mortality prediction with relevance vector machines

4. Mortality prediction with self normalizing neural networks in intensive care unit patients

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