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Prototypes and Models | Computer Science and Information Technology | India | Volume 11 Issue 11, November 2022 | Popularity: 6.6 / 10

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Deep Learning for Early Detection of Disease Outbreaks

Sunil Chahal

Abstract: Based on this project the aim is to investigate the effectiveness of deep learning techniques in the early identification of disease outbreaks. Two things must be done to accomplish this goal: first, it must be made clear how important it is to promptly identify disease outbreaks in the current global health setting, and second, deep learning techniques must be subjected to a thorough evaluation of how well they perform in this critical job. These goals are part of the study's overall effort to get a thorough understanding of the range of deep-learning approaches that can assist and improve disease outbreak investigation processes. The cutting-edge technology that has supported early intervention and lessened the effects of disease epidemics in the global community is improved by this research.

Keywords: Deep Learning, Data Collection, Analysis, Machine Learning, NLP, CNN, ANN

Edition: Volume 11 Issue 11, November 2022

Pages: 1489 - 1995

DOI: https://www.doi.org/10.21275/SR231003162321

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