Messaging clearly and effectively about hearing loss and increased dementia risk Blustein J, BE Weinstein, J Chodosh Read more
It is time to change our message about hearing loss and dementia Blustein J, BE Weinstein, J Chodosh Read more
It is time to change our message about hearing loss and dementia J Blustein, BE Weinstein, and J Chodosh Read more
Messaging clearly and effectively about hearing loss and increased dementia risk J Blustein, BE Weinstein, and J Chodosh Read more
Fairness and bias of machine learning approaches for diabetes screening in the Emergency Department Isaac Bohart, [...], Daniel B. Neill*, David Lee* Read more
Identifying housing-sensitive health conditions using machine learning O. Chakraborty, K. Dragan, I. Ellen, S. Glied, R. A. Howland, S. S. Wang, and D. B. Neill Read more
Neighborhood-level risk factors for severe hyperglycemia among ED patients without a prior diabetes diagnosis Christian Koziatek, Isaac Bohart, [...], Daniel B. Neill, David Lee Read more
PROVIDENT: development and validation of a machine learning model to predict neighborhood-level overdose risk in Rhode Island Bennett Allen, [...], Magdalena Cerda, Daniel B. Neill Read more
Fairness and bias of machine learning in healthcare and medicine Isaac Bohart, Daniel B. Neill, and David Lee Read more
Identifying predictors of opioid overdose death at a neighborhood level with machine learning R. C. Schell, B. Allen, W. C. Goedel, B. D. Hallowell, R. Scagos, Y. Li, M. S. Krieger, D. B. Neill, B. D. L. Marshall, M. Cerda, and J. Ahern Read more
Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data Katie Rosman and Daniel B. Neill Read more
Presyndromic surveillance for improved detection of emerging public health threats Mallory Nobles, Ramona Lall, Robert W. Mathes, and Daniel B. Neill Read more