# Hybrid Optimization of CNN-LSTM Deep Learning Techniques for Effective Early Detection of Periodic Outbreaks from Health Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-optimization-of-cnn-lstm-deep-learning-techniques-for-effective-early/

## Facts

| Field | Value |
| --- | --- |
| Author Names | P. Subramaniam,E.T. Venkatesh |
| Citations | 0 |
| DOI | 10.47760/ijcsmc.2025.v14i10.003 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.47760/ijcsmc.2025.v14i10.003 |
| OpenAlex ID | https://openalex.org/W4415173051 |
| Type | article |
| Year | 2025 |

## Paper authors

- [E.T. Venkatesh](https://scholariq.org/researchers/e-t-venkatesh/)

## Paper journal

- [International Journal of Computer Science and Mobile Computing](https://scholariq.org/journals/international-journal-of-computer-science-and-mobile-computing/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.