1 code implementation • 20 Jul 2023 • Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam Barnaghi, Eyal Soreq
Using the COVID-19 pandemic as a natural experiment, we conducted linear mixed-effects modelling to examine changes in mean kitchen activity within a subset of 21 households of PLWD that were continuously monitored for 499 days.
no code implementations • 27 Apr 2023 • Louis Hickman, Jason Kuruzovich, Vincent Ng, Kofi Arhin, Danielle Wilson
In this study, we systematically under- and oversampled minority (Black and Hispanic) applicants to manipulate adverse impact ratios in training data and investigated how training data adverse impact ratios affect ML model adverse impact and accuracy.