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.

מידע ביבליוגרפי
Main Authors: Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
מחברים אחרים: Alam, Md.Golam Rabiul
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
Sickle cell
Clinical data
Genotype
Federated learning
Few-shot siamese
Federated siamese bidirectional LSTM
Machine learning
Computer algorithms
Sickle cell anemia
גישה מקוונת:http://hdl.handle.net/10361/21953

אינטרנט

http://hdl.handle.net/10361/21953

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