heli0001

3D-Convolutional-Neural-Network-for-image-data

Machine learning technique for classification problem on ultrasounds slices of stoke and non-stroke patients

bayescluspstra_outcome

These are R implementations under spike and slab related priors for clustering structure with both principal stratification and outcomes in Bayesian inference.

Data-manipulation

Data preprocessing and visualization for case studies

ghs_projects

Several selected projects working with professors, health science researchers, residents and medical students.

machine-learning-GAN-

machine-learning-self_learning

ps_pstra_outcome

These are R implementations under lasso related priors for clustering structure with propensity score, principal stratification and outcomes in Bayesian inference

suffi_stat_bayes

These are R implementations using sufficient statistics methods for clustering structure in Bayesian inference

suffi_stat_freq

These are R implementations using sufficient statistics methods adjusting clustering structure in frequentist way.