Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning

Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
Andre forfattere:	Alam, Md.Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Sickle cell Clinical data Genotype Federated learning Few-shot siamese Federated siamese bidirectional LSTM Machine learning Computer algorithms Sickle cell anemia
Online adgang:	http://hdl.handle.net/10361/21953

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