Clustering Patient Data for Outcome-Based Risk StratificationMachine Learning (ML) in the clinical setting learns from dense and multidimensional data to predict patient outcomes; however, the real…Jun 22, 2021Jun 22, 2021
Interpretability of Machine Learning for Clinical ApplicationsUnless you have been living off the grid, I am guessing you have received a targeted advertisement related to a product you purchased or…Mar 23, 2021Mar 23, 2021
Using Logistic Regression to Inform Decision Trees in Classifying Valvular Heart DiseaseLogistic regression is a simple yet powerful tool to help determine the relationship between predictor and response variables. In fact, a…Dec 9, 2020Dec 9, 2020
Introduction to Logistic Regression in Health Care ApplicationsIn clinical research, a common predictive model is Logistic Regression. This model has a wide range of applicability such as variable…Nov 17, 2020Nov 17, 2020
Research with Mpirik — An Opportunity to ExploreMost healthcare software companies aim to improve patient care, patient outcomes, hospital revenue, and physician efficiency. However…Sep 29, 2020Sep 29, 2020
