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.

書誌詳細
主要な著者:	Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
その他の著者:	Alam, Md.Golam Rabiul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2023
主題:	Sickle cell Clinical data Genotype Federated learning Few-shot siamese Federated siamese bidirectional LSTM Machine learning Computer algorithms Sickle cell anemia
オンライン･アクセス:	http://hdl.handle.net/10361/21953

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