14 citations · 14 across the 3 of their papers we have counts for
3 papers
Methodology to Create Analysis-Naive Holdout Records as well as Train and Test Records for Machine Learning Analyses in Healthcare
Michele Bennett, Mehdi Nekouei, Armand Prieditis Rajesh Mehta +2
It is common for researchers to holdout data from a study pool to be used for external validation as well as for future research, and the same desire is true to those using machine…
The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models
Michele Bennett, Jaya Balusu, Karin Hayes +1
The COVID-19 pandemic has dramatically changed how healthcare is delivered to patients, how patients interact with healthcare providers, and how healthcare information is dissemina…
Similarities and Differences between Machine Learning and Traditional Advanced Statistical Modeling in Healthcare Analytics
Michele Bennett, Karin Hayes, Ewa J. Kleczyk +1
Data scientists and statisticians are often at odds when determining the best approach, machine learning or statistical modeling, to solve an analytics challenge. However, machine…