22 citations · 30 across the 3 of their papers we have counts for
3 papers
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
Mark Sendak, Gaurav Sirdeshmukh, Timothy Ochoa +20
The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including data captured in the electronic health record (EHR), vary dr…
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong +4
We consider machine-learning-based malignancy prediction and lesion identification from clinical dermatological images, which can be indistinctly acquired via smartphone or dermosc…
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
Machine learning technologies are increasingly developed for use in healthcare. While research communities have focused on creating state-of-the-art models, there has been less foc…