Health Policy | NYU Wagner

Health Policy

It is time to change our message about hearing loss and dementia

Blustein J, BE Weinstein, J Chodosh

Messaging clearly and effectively about hearing loss and increased dementia risk

Blustein J, BE Weinstein, J Chodosh

Messaging clearly and effectively about hearing loss and increased dementia risk

J Blustein, BE Weinstein, and J Chodosh

It is time to change our message about hearing loss and dementia

J Blustein, BE Weinstein, and J Chodosh

"Living on low-incomes with multiple long-term health conditions: a new method for disentangling the vicious circle"

Jonathan Morduch, Olga Biosca, Enrico Bellazzecca, Cam Donaldson, Ahalya Bala, Marta Mojarrieta, Gregory White, Neil McHugh, Rachel Baker, and Antony Morgan

Fairness and bias of machine learning approaches for diabetes screening in the Emergency Department

Isaac Bohart, [...], Daniel B. Neill*, David Lee*

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

Neighborhood-level risk factors for severe hyperglycemia among ED patients without a prior diabetes diagnosis

Christian Koziatek, Isaac Bohart, [...], Daniel B. Neill, David Lee

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

Fairness and bias of machine learning in healthcare and medicine

Isaac Bohart, Daniel B. Neill, and David Lee

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

Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data

Katie Rosman and Daniel B. Neill