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IEEE3y
Thalassemia Prediction using Machine Learning Approaches
In this research, predicting the existence of Thalassemia with ML, an important part of AI has been proposed. Very popular ML algorithms have been implemented on the processed dataset. K-Nearest ...
IEEE1y
Towards thalassemia detection using optoelectronic measurements assisted with machine-learning algorithms: a non-invasive, pain-free and blood - free approach towards diagnostics
Through this work we present the optoelectronically, photoplethysmography derived patient’s data for estimation of the hemoglobin levels using a non-invasive ... were taken and subjected to machine ...
Frontiers1y
Constructing a novel clinical indicator model to predict the occurrence of thalassemia in pregnancy through machine learning algorithm
Thalassemia is one of the inherited hemoglobin disorders worldwide, resulting in ineffective erythropoiesis, chronic hemolytic anemia, compensatory hemopoietic expansion, hypercoagulability, etc., and ...
GitHub3y
Heart-Disease-Prediction-Analysis
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate. kaggle project The project is made to predict heart disease analysis using machine learning ...