68 citations · 72 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…
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…
Using Machine Learning to Develop Smart Reflex Testing Protocols
Matthew McDermott, Anand Dighe, Peter Szolovits +2
Objective: Reflex testing protocols allow clinical laboratories to perform second line diagnostic tests on existing specimens based on the results of initially ordered tests. Refle…
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad +2
Transformers-based models, such as BERT, have dramatically improved the performance for various natural language processing tasks. The clinical knowledge enriched model, namely Cli…
Transformation-optics macroscopic visible-light cloaking beyond two dimensions
Chia-Wei Chu, Xiaomin Zhai, Chih Jie Lee +4
Transformation optics, a recent geometrical design strategy of controlling light by combining Maxwell's principles of electromagnetism with Einstein's general relativity, promises…