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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof
مؤلفون آخرون: Alam, Md.Golam Rabiul
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2023
الموضوعات:
Sickle cell
Clinical data
Genotype
Federated learning
Few-shot siamese
Federated siamese bidirectional LSTM
Machine learning
Computer algorithms
Sickle cell anemia
الوصول للمادة أونلاين:http://hdl.handle.net/10361/21953

الانترنت

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

مواد مشابهة