4 citations · 6 across the 5 of their papers we have counts for
5 papers
Medical Image Deidentification, Cleaning and Compression Using Pylogik
Adrienne Kline, Vinesh Appadurai, Yuan Luo +1
Leveraging medical record information in the era of big data and machine learning comes with the caveat that data must be cleaned and de-identified. Facilitating data sharing and h…
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning
Adrienne Kline, Joon Lee
Model evaluation is a critical component in supervised machine learning classification analyses. Traditional metrics do not currently incorporate case difficulty. This renders the…
IRTCI: Item Response Theory for Categorical Imputation
Adrienne Kline, Yuan Luo
Most datasets suffer from partial or complete missing values, which has downstream limitations on the available models on which to test the data and on any statistical inferences t…
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets
Hanyin Wang, Meghan R. Hutch, Yikuan Li +6
Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-re…
Multimodal Machine Learning in Precision Health
Adrienne Kline, Hanyin Wang, Yikuan Li +6
As machine learning and artificial intelligence are more frequently being leveraged to tackle problems in the health sector, there has been increased interest in utilizing them in…