Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection-Reference-Cited by-同舟云学术

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Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection

Published:2024-05-29 Issue: Volume:204 Page:1-8
ISSN:
Container-title:2024 International Conference on Activity and Behavior Computing (ABC)
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Author:

Islam Mahera Roksana¹,Ferdous Anik Mahmud¹,Hossain Shahera²,Rahman Ahad Md Atiqur²,Alnajjar Fady³

Affiliation:

1. University of Dhaka,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh

2. University of East London,Dept. of Computer Science and Digital Technologies,London,UK

3. College of Information Technology, UAE University,Dept. of Computer Science and Software Engineering,Al Ain,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649890/10651639/10652117.pdf?arnumber=10652117

Reference27 articles.

1. Multilabel Classification of Nursing Activities in a Realistic Scenario;Faiz,2021

2. Multimodal Transformer for Nursing Activity Recognition

3. Human activity recognition challenge,2024

4. Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study

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