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Publication
Book Review of Inclusive teaching: Strategies for promoting equity in the college classroomBook Review of Inclusive teaching: Strategies for promoting equity in the college classroom …
Publication
Lessons Learned from the Buffalo Blizzard: Recommendations for Strengthening Preparedness and Recovery EffortsIn December 2022, the City of Buffalo in Erie County, New York experienced a “generational storm” that claimed the lives of 31 residents and brought activity to a standstill for nearly a week. While the city is no stranger to snowstorms, several factors …
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Identifying housing-sensitive health conditions using machine learningO. Chakraborty, K. Dragan, I. Ellen, S. Glied, R. A. Howland, S. S. Wang, and D. B. Neill …
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Projects, Products, Practice, and Pitfalls: A Hands-On Approach to Advanced Data AnalyticsJulia Lane, Rayid Ghani, Frauke Kreuter, Anna-Carolina Haensch, and Maryah Garner …
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Mixed-methods study to examine the response of opioid addiction treatment programmes to COVID-19: a study protocolIntroduction The COVID-19 pandemic is forcing changes to clinical practice within traditional addiction treatment programmes, including the increased use of telehealth, reduced restrictions on methadone administration (eg, increased availability of …
Publication
Preventing overdose using information and data from the environment (PROVIDENT): Protocol for a randomised, population-based, community intervention trialB. D. L. Marshall, N. Alexander-Scott, J. L. Yedinak, B. Hallowell, W. C. Goedel, B. Allen, R. C. Schell, M. S. Krieger, C. Pratty, J. Ahern, D. B. Neill, and M. …
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Identifying predictors of opioid overdose death at a neighborhood level with machine learningR. 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. …
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Chronic Medication Burden for Patients After Congenital Heart Surgery: A 14-Year Statewide Analysis of Publicly Insured PatientsJoyce L. Woo et al …
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Efficient discovery of heterogeneous treatment effects in randomized experiments via anomalous pattern detectionEdward McFowland III, Sriram Somanchi, and Daniel B. Neill …
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Fairness and bias of machine learning approaches for diabetes screening in the Emergency DepartmentIsaac Bohart, [...], Daniel B. Neill*, David Lee* …
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Auditing predictive models for intersectional biasesKate Boxer, Edward McFowland III, and Daniel B. Neill …
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Insufficiently justified disparate impact: a new criterion for fair recommendationsNeil Menghani, Edward McFowland III, and Daniel B. Neill …
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Fairness and bias of machine learning in healthcare and medicineIsaac Bohart, Daniel B. Neill, and David Lee …
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Neighborhood-level risk factors for severe hyperglycemia among ED patients without a prior diabetes diagnosisChristian Koziatek, Isaac Bohart, [...], Daniel B. Neill, David Lee …
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PROVIDENT: development and validation of a machine learning model to predict neighborhood-level overdose risk in Rhode IslandBennett Allen, [...], Magdalena Cerda, Daniel B. Neill …
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Association of Insurance Mix and Diagnostic Coding Practices in New York State HospitalsImportance Given higher reimbursement rates, hospitals primarily serving privately insured patients may invest more in intensive coding than hospitals serving publicly insured patients. This may lead these hospitals to code more diagnoses for all …
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Estimating reporting bias in 311 complaint dataKate S. Boxer, Boyeoung Hong, Constantine E. Kontokosta, and Daniel B. Neill …
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Sensitivity of Medicaid Claims Data for Identifying Opioid Use Disorder in Patients Admitted to 6 New York City Public HospitalsJennifer McNeely, Shane D Gallagher, Medha Mazumdar, Noa Appleton, Jasmine Fernando, Elizabeth Owens, Emmeline Bone, Noa Krawczyk, Johanna Dolle, Roopa Kalyanaraman Marcello, John Billings, Scarlett …
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Positional encoder graph neural networks for geographic dataKonstantin Klemmer, Nathan S. Safir, and D. B. Neill …
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Calibrated nonparametric scan statistics for anomalous pattern detection in graphsChunpai Wang, Daniel B. Neill, and Feng Chen …
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The Stains of Redlining: To build a better New York City, we must grapple honestly with the past.Jacob Faber …
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SPATE-GAN: Improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding lossK. Klemmer, T. Xu, B. Acciaio, and D. B. Neill …