Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networksq-bio.QM
Model predicts HU response for sickle cell patients.
problem Predicting which sickle cell patients will respond to Hydroxyurea.
method Developed Deep Artificial Neural Network models.
result 92.6% accuracy in predicting HbF response.