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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Główni autorzy:	Gudala Karunakar, Gandra Shreya, Gollapally Shanmukha Priya, Ankisetti Vasavi, Govardhana Sriharshini, Gujjarlapudi Mahalakshmi
Format:	Artigo
Język:	Inglês
Wydane:	Elsevier 2023-12-01
Seria:	e-Prime: Advances in Electrical Engineering, Electronics and Energy
Hasła przedmiotowe:	Dyslipidemia Recurrent neural network Bidirectional long short-term memory
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S2772671123001973
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