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.

Detalles Bibliográficos
Autores principales: Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
Otros Autores: Alam, Md.Golam Rabiul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Sickle cell
Clinical data
Genotype
Federated learning
Few-shot siamese
Federated siamese bidirectional LSTM
Machine learning
Computer algorithms
Sickle cell anemia
Acceso en línea:http://hdl.handle.net/10361/21953

Internet

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

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