Beta Thalassemia - A Data Analytics Perspective

The work entails a novel approach towards realizing distribution of Thalassemia medical records based on Age, Gender, Weight and Haemoglobin Level. It also indicates the rate of growth of thalassemia with corresponding sex bifurcation. The total number of blood transfusions with respect to ferritin, frequency (In months), Height, weight, eco have been analysed based on the graphical representation. The work points out a Statistical Assessment of Health Related Quality of Life in Pediatric Patients with Beta-Thalassaemia. Posterior Distribution Characterization for Pairwise Correlations for Baseline and 3 Months has been carried out based on Log Likelihood Function, Prior Distribution, and Posterior Distribution. In case of posterior distribution for Bayesian correlation, a bell shaped curve is observed. This work highlights an Analysis of Beta-Thalassemia Patients' prognosis in the light of Radial Basis function and non-parametric test.

Autorentext

Aditya Maheshwari es investigador del Lincoln University College Malaysia y trabaja en calidad de Investigador Principal, I3 Labs en el Techno India NJR Institute of Technology de Udaipur. El profesor Prasun Chakrabarti trabaja como Decano Ejecutivo (Investigación y Vinculación Internacional) y como Profesor Titular Distinguido del Instituto.