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A Flask web app that provides time-of-sale estimates for home listings in the Calgary market. The model used by Sale A-When is the result of a survival analysis carried out on a large sales data set.
Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
Code for a paper on estimation and evaluation of penalized survival models with high dimensional left-truncated and right-censored (LTRC) survival data