An ensemble pneumonia prediction and classification model including InceptionNeXtPneumonia prediction and classification-Reference-Cited by-同舟云学术

An ensemble pneumonia prediction and classification model including InceptionNeXtPneumonia prediction and classification

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 2nd International Conference on Algorithms, Data Mining, and Information Technology
language:
Short-container-title:

Author:

Luo Kaiwen¹^ORCID,Wang Xiaomin¹^ORCID,Sun Fan¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China, China

Funder

Medico-Engineering Cooperation Funds from University of Electronic Science and Technology of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625403.3625415

Reference18 articles.

1. World Health Organization . Revised global burden of disease: 2002 estimates . Geneva : WHO , 2004 . World Health Organization. World Health Organization. Revised global burden of disease: 2002 estimates. Geneva: WHO, 2004. World Health Organization.

2. Community-acquired pneumonia

3. Ruuskanen , O. , Lahti , E. , Jennings , L. C. , & Murdoch , D. R. ( 2011 ). Viral pneumonia. The Lancet, 377(9773), 1264-1275 . Ruuskanen, O., Lahti, E., Jennings, L. C., & Murdoch, D. R. (2011). Viral pneumonia. The Lancet, 377(9773), 1264-1275.

4. Moreno , L. , Krishnan , J. A. , Duran , P. , & Ferrero , F. ( 2006 ). Development and validation of a clinical prediction rule to distinguish bacterial from viral pneumonia in children. Pediatric pulmonology, 41(4), 331-337 . Moreno, L., Krishnan, J. A., Duran, P., & Ferrero, F. (2006). Development and validation of a clinical prediction rule to distinguish bacterial from viral pneumonia in children. Pediatric pulmonology, 41(4), 331-337.

5. Ranjan , R. , Sankaranarayanan , S. , Bansal , A. , Bodla , N. , Chen , J. C. , Patel , V. M., . .. & Chellappa , R. ( 2018 ). Deep learning for understanding faces: Machines may be just as good, or better, than humans. IEEE Signal Processing Magazine, 35(1), 66-83 . Ranjan, R., Sankaranarayanan, S., Bansal, A., Bodla, N., Chen, J. C., Patel, V. M., ... & Chellappa, R. (2018). Deep learning for understanding faces: Machines may be just as good, or better, than humans. IEEE Signal Processing Magazine, 35(1), 66-83.