Transformers in health: a systematic review on architectures for longitudinal data analysis
Clauirton A. Siebra,
Mascha Kurpicz-Briki,
Katarzyna Wac
Abstract:Transformers are state-of-the-art technology to support diverse Natural Language Processing (NLP) tasks, such as language translation and word/sentence predictions. The main advantage of transformers is their ability to obtain high accuracies when processing long sequences since they avoid the vanishing gradient problem and use the attention mechanism to maintain the focus on the information that matters. These features are fostering the use of transformers in other domains beyond NLP. This paper employs a sys… Show more
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