Intrapartum fever prediction for pregnant woman from microbial data-Reference-Cited by-同舟云学术

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Intrapartum fever prediction for pregnant woman from microbial data

Published:2024-04-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)
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Author:

Hossain Afifa¹,Morshed Md. Samin²,Ashraf Faisal Bin³,Reena Ismatara⁴,Mumu Sumona Hoque⁴,Uddin Jasim⁵

Affiliation:

1. Islamic University of Technology,Dept. of CSE,Gazipur,Bangladesh

2. University of Arkansas at Little Rock,COSMOS Lab,USA

3. University of California Riverside,Dept. of CSE,USA

4. UL Lafayette,School of Kinesiology,USA

5. Cardiff Metropolitan University,Dept. of Applied Computing and Engineering,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10561631/10561632/10561686.pdf?arnumber=10561686

Reference19 articles.

1. Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches

2. Learnability Assessment of Speech-Based Intelligent Personal Assistants by Older Adults

3. A comparative study on different big data tools;Ibtisum,2020

4. VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition

5. Machine Learning Techniques Accurately Classify Microbial Communities by Bacterial Vaginosis Characteristics

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