A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia

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.

Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy

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.

Fairness