Application of Pattern Recognition to Early Detection of symptoms of sickle cell crisis Poster presented at the Deep Learning Indaba 2022 by Toluwani Adegoke
Abstract Abstract 4760 Background:
A synthetic tabular dataset for predicting sickle cell disease crises in African populations. SCD af
Deep Learning for Automated Sickle Cell Detection in Peripheral Blood Smears using African Clinical
AI model for sickle cell anemia diagnosis using combined numerical & image data. Transfer learning w
Introduction Children with sickle cell disease are at an elevated risk of developing chronic kidney
Sickle cell disease (SCD) is defined by consistent hemolysis, recurrent vaso-occlusive crises and co