AIMC Topic: beta-Thalassemia

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Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.

Artificial intelligence in medicine May 3, 2018
Thalassemia is considered one of the most common genetic blood disorders that has received excessive attention in the medical research fields worldwide. Under this context, one of the greatest challenges for healthcare professionals is to correctly d...
Humans Neural Networks, Computer Phenotype Databases, Factual Biomarkers Reproducibility of Results Decision Trees Predictive Value of Tests Bayes Theorem Hemoglobins Data Mining Erythrocyte Indices beta-Thalassemia Asymptomatic Diseases Heterozygote Middle East Genetic Carrier Screening
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Prediction of K562 Cells Functional Inhibitors Based on Machine Learning Approaches.

Current pharmaceutical design Jan 1, 2019
BACKGROUND: β thalassemia is a common monogenic genetic disease that is very harmful to human health. The disease arises is due to the deletion of or defects in β-globin, which reduces synthesis of the β-globin chain, resulting in a relatively excess...
Humans Machine Learning Algorithms Support Vector Machine Bayes Theorem beta-Thalassemia beta-Globins K562 Cells
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Evaluation of five discriminating indexes to distinguish Beta-Thalassemia Trait from Iron Deficiency Anaemia.

JPMA. The Journal of the Pakistan Medical Association Dec 1, 2016
OBJECTIVE: To assess the reliability of different red blood cell indices-based formulae in the indexes formula in differential diagnosis of beta thalassemia trait and iron deficiency anaemia.
Humans Female Reproducibility of Results Cross-Sectional Studies Male Diagnosis, Differential Anemia, Iron-Deficiency Pakistan Erythrocyte Indices beta-Thalassemia
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