A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods-Reference-Cited by-同舟云学术

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A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Kim Edward¹,Robinson Lucy²,Isozaki Isamu¹,Robertson Noreen³,Cairns Charles B.³,Tripathi Satvik¹,Seyfert-Margolis Vicki⁴

Affiliation:

1. Drexel University,Department of Computer Science,Philadelphia,PA,USA

2. Drexel University,Department of Epidemiology & Biostatistics,Philadelphia,PA,USA

3. Drexel University,College of Medicine,Philadelphia,PA,USA

4. Respond Health,Bethesda,MD,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385496.pdf?arnumber=10385496

Reference13 articles.

1. Artificial intelligence in healthcare: Past, present, and future;Chen;Journal of Medical Systems,2021

2. Scalable and accurate deep learning with electronic health records

3. Artificial intelligence in healthcare: Past, present, and future;Wang;IEEE Journal of Biomedical and Health Informatics,2021

4. Multimodal machine learning: A survey and taxonomy;Zhu;ACM Computing Surveys (CSUR),2020

5. Machine Learning Techniques on X-ray Images for Covid-19 Classification

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