Recurrent neural networks

Acronym: RNN

Recurrent neural networks (RNNs) are another type of ANN that use sequential or temporal data. They are often used for problems related to language translation, natural language processing, speech recognition, and image captioning. Unlike other neural networks, where inputs and outputs are independent of one another, RNNs take information from inputs in prior layers to influence the current inputs and outputs. RNNs are useful for healthcare providers to assist with tasks such as clinical trial cohort selection. [https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare](https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare)