Emergency Care Patient Prediction using Electronic Health Records (EHR) Data: An End-to-End Machine Learning Pipeline-Reference-Cited by-同舟云学术

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Emergency Care Patient Prediction using Electronic Health Records (EHR) Data: An End-to-End Machine Learning Pipeline

Published:2023-08-14 Issue: Volume: Page:278-282
ISSN:
Container-title:2023 10th International Conference on Future Internet of Things and Cloud (FiCloud)
language:
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Author:

Sumon Maruful Abedin¹,Kwemebe Tor A.²,Melapu Venkata K.³,Hasan Md Mohiuddin¹

Affiliation:

1. Jackson State University,Computational Data-Enabled Science and Engineering,Jackson,USA

2. Jackson State University,Department of Mathematics and Computer Science,Jackson,USA

3. Jackson State University,Computer Science and Engineering,Jackson,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410629/10410637/10410690.pdf?arnumber=10410690

Reference12 articles.

1. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage

2. Application of Artificial Intelligence and Machine Learning Techniques in Classifying Extent of Dementia Across Alzheimer's Image Data

3. Performance Analysis of Machine Learning Algorithms for COVID-19 Detection

4. Classification of Parkinson's Disease Using Motor and Non-Motor Biomarkers Through Machine Learning Techniques

5. Toxicity Classification on Music Lyrics Using Machine Learning Algorithms

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