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My work

Health care projects

Predictive modeling vis-à-vis, Regression models, Traditional Neural networks, Bayesian models more specifically Gaussian models and determine the model that best fits the following project objectives

  • Medical claims cost prediction

  • Disease risk increase or decrease prediction

  • ReHospitalization risk prediction

  • Hospital readmission prediction

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  • Utilize the best models with the optimal parameters/hyperparameters to achieve 80% or more accuracy for all the above projects

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Thesis project

​Design of Bayesian models for a Biogeographical application and demonstrate the advantages they hold compared to Traditional Neural networks

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