Unified time series analysis with Bi-long short-term memory model for early prediction of dyslipidemia in steel workers

Dyslipidemia is a serious problem in steel workers, which needs to be detected in the early stage. However, the state of art machine learning methods failed to provide accurate classification, which resulted in reduced accuracy. So, this article aimed topredict dyslipidemia among steel workers using...

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Autors principals:	Gudala Karunakar, Gandra Shreya, Gollapally Shanmukha Priya, Ankisetti Vasavi, Govardhana Sriharshini, Gujjarlapudi Mahalakshmi
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-12-01
Col·lecció:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Matèries:	Dyslipidemia Recurrent neural network Bidirectional long short-term memory
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772671123001973
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