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Research Article Open access CC BY 4.0

Sickle Cell Disease - A Comprehensive Study and Usage of Technology for Diagnosis

Sagar Yeruva, M. Sharada Varalakshmi, B. Pavan Gowtham, Y. Hari Chandana, P. E. S. N. Krishna Prasad

International Blood Research & Reviews · pp. 6–14 · Published 19 Jun 2020

10.9734/ibrr/2020/v11i230125

Abstract

Sickle cell is haematological disorder (haematology is a study of blood in health and diseases) which may lead to an organ damage, heart strokes and serious complications. It may also reduce human life span. Most of the sickle cells are observed in new born babies. At the start of sickle cells in human people though it’s a kind of feature in tribal people but it has spread over the world. Sickle cell Symptoms are observed in human beings as episodes of pains (crisis), Vision problems, swelling of hands and Feet. Sickle Cell Disease (SCD) can harm patient’s spleen (slightly pain at left Ribs). If one organ is affected in human body, then slowly it affects the entire body by spreading into Brain, Lungs, Heart, Liver, Kidneys, Joints, Eyes, Penis, Skin or Bone. This paper is aimed at presenting the complete details of the SCD with its properties, symptoms, signs, treatment for this disease. This is also a comprehensive study and characteristics of this disease with other similar diseases. The technological implications and usage in the field of SCD for better accuracy of identification of the disease is presented.

Sickle Cell (SC) Sickle Cell Disease (SCD) thalassemia image segmentation Sickle Cell Anemia (SCA).

References (11)

  1. 1 Sickle Cell Disease: Advances in Treatment [DOI]
  2. 2 Pregnancy in Sickle Cell Disease Is a Very High-Risk Situation: An Observational Study [DOI]
  3. 3 Feature Extraction and Classification of Blood Cells Using Artificial Neural Network [DOI]
  4. 4 Management of pain in sickle-cell disease [DOI]
  5. 5 Image processing-based diagnosis of sickle cell anemia in erythrocytes [DOI]
  6. 6 The Sickle Cell Crisis: A Dilemma in Pain Relief [DOI]
  7. 7 Detection of anaemia disease in human red blood cells using cell signature, neural networks and SVM [DOI]
  8. 8 Increased blood viscosity in a patient with sickle cell anemia.
  9. 9 HbS-Sicilian (δβ)0-Thalassemia: A Rare Variant of Sickle Cell [DOI]
  10. 10 Whole blood viscosity in beta thalassemia minor.
  11. 11 Biotin-Labeled RBC Survival in Thalassemia and Impact of Treatment. [DOI]

Cited by 3

Sickle Cell Disease Epidemiology and Management in Africa: Current Trends and Future Directions in Digital Health Technologies

Olamide O. Afolalu, Oluwaseyi A. Akpor, Sunday A. Afolalu · 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON) · 2024

Identification of Sickle Cell Anemia Using Deep Neural Networks

Sagar Yeruva, M. Sharada Varalakshmi, B. Pavan Gowtham · Emerging Science Journal · 2021

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