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.

Chi tiết về thư mục
Những tác giả chính: Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
Tác giả khác: Alam, Md.Golam Rabiul
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2023
Những chủ đề:
Sickle cell
Clinical data
Genotype
Federated learning
Few-shot siamese
Federated siamese bidirectional LSTM
Machine learning
Computer algorithms
Sickle cell anemia
Truy cập trực tuyến:http://hdl.handle.net/10361/21953

Internet

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

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