Výsledky vyhledávání - "Daniel B. Neill"

Akademický článek

Understanding spatial patterns in rape reporting delays

Autor: Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis

Publikováno v: Royal Society Open Science, Vol 8, Iss 2 (2021)

Under-reporting and delayed reporting of rape crime are severe issues that can complicate the prosecution of perpetrators and prevent rape survivors from receiving needed support. Building on a massive database of publicly available criminal reports

Externí odkaz: https://doaj.org/article/4dd9973f45df41c5bf19823e18dc932a

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Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs

Autor: Chunpai Wang, Daniel B. Neill, Feng Chen

We propose a new approach, the calibrated nonparametric scan statistic (CNSS), for more accurate detection of anomalous patterns in large-scale, real-world graphs. Scan statistics identify connected subgraphs that are interesting or unexpected throug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e5fb25c815556df84d6ad3fd6a9db2
http://arxiv.org/abs/2206.12786

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68-OR: Using Machine Learning to Improve Screening for Undiagnosed Diabetes among Emergency Department Patients

Autor: ISAAC BOHART, J. REED CALDWELL, JORDAN SWARTZ, PERRY E. ROSEN, NICHOLAS GENES, CHRISTIAN A. KOZIATEK, DANIEL B. NEILL, DAVID C. LEE

Publikováno v: Diabetes. 71

Introduction: Screening for previously undiagnosed diabetes in the emergency department (ED) can enhance early detection, which may particularly benefit patients with barriers to accessing primary care. To optimize use of limited ED resources, there

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ea3714aee6e6a108428dc2a8dcf3092
https://doi.org/10.2337/db22-68-or

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Preventing Overdose Using Information and Data from the Environment (PROVIDENT): protocol for a randomized, population-based, community intervention trial

Autor: Nicole Alexander-Scott, Brandon D.L. Marshall, Jennifer Ahern, Benjamin D Hallowell, Claire Pratty, Maxwell S. Krieger, Bennett Allen, Jesse L. Yedinak, Magdalena Cerdá, Daniel B. Neill, Yu Li, William C. Goedel, Robert C. Schell

Publikováno v: Addiction

BACKGROUND AND AIMS: In light of the accelerating drug overdose epidemic in North America, new strategies are needed to identify communities most at risk to prioritize geographically the existing public health resources (e.g. street outreach, naloxon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba5a2beea2a7290d1c4ee3bcdd0ee417
https://europepmc.org/articles/PMC8904285/

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Identifying Predictors of Opioid Overdose Death at a Neighborhood Level With Machine Learning

Autor: Robert C Schell, Bennett Allen, William C Goedel, Benjamin D Hallowell, Rachel Scagos, Yu Li, Maxwell S Krieger, Daniel B Neill, Brandon D L Marshall, Magdalena Cerda, Jennifer Ahern

Publikováno v: Am J Epidemiol

Predictors of opioid overdose death in neighborhoods are important to identify, both to understand characteristics of high-risk areas and to prioritize limited prevention and intervention resources. Machine learning methods could serve as a valuable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::875a6a13e8d4ae305302c6a6f06a7568
https://europepmc.org/articles/PMC9214774/

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Auxiliary-task learning for geographic data with autoregressive embeddings

Autor: Konstantin Klemmer, Daniel B. Neill

Publikováno v: SIGSPATIAL/GIS

Machine learning is gaining popularity in a broad range of areas working with geographic data, such as ecology or atmospheric sciences. Here, data often exhibit spatial effects, which can be difficult to learn for neural networks. In this study, we p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465716d50da60a8b94fb3a5130fad9fc
https://doi.org/10.1145/3474717.3483922

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Keeping Score: Predictive Analytics in Policing

Autor: Dylan J. Fitzpatrick, Wilpen L. Gorr, Daniel B. Neill

Publikováno v: Annual Review of Criminology. 2:473-491

Predictive analytics in policing is a data-driven approach to ( a) characterizing crime patterns across time and space and ( b) leveraging this knowledge for the prevention of crime and disorder. This article outlines the current state of the field,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d16e56ab4a3064e3764eeebaf76b983
https://doi.org/10.1146/annurev-criminol-011518-024534

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List of contributors

Autor: Jeffery B. Alvarez, Jean-Emmanuel Bibault, Anita Burgun, Jinzheng Cai, Zhidong Cao, Ken Chang, Jonathan H. Chen, William C. Chen, Mildred Cho, Peter Jaeho Cho, Toby C. Cornish, Anthony Costa, Andre Dekker, Karen Drukker, Jessilyn Dunn, Okyaz Eminaga, Bradley J. Erickson, Laure Fournier, Sanjiv Sam Gambhir, Efstathios D. Gennatas, Maryellen L. Giger, Iva Halilaj, Adam P. Harrison, Bryan He, Julian C. Hong, Dakai Jin, Michael C. Jin, Arthur Jochems, Jayashree Kalpathy-Cramer, Daniel S. Kapp, Mehran Karimzadeh, William Karnes, Philippe Lambin, Curtis P. Langlotz, Joonsang Lee, Hui Li, Joseph C. Liao, Anthony L. Lin, Rebecca Y. Lin, Yun Liu, Le Lu, David Magnus, Chris McIntosh, Shun Miao, James K. Min, Daniel B. Neill, Eric Karl Oermann, David Ouyang, Lily Peng, Sonia Phene, Maarten G. Poirot, Jennifer L. Quon, Daniel Ranti, Arvind Rao, Ramesh Raskar, Christopher Rombaoa, Daniel L. Rubin, Jason Samarasena, Jayne Seekins, Karthik Seetharam, Emily Shearer, Adam Sibley, Karnika Singh, Praveer Singh, Margarita Sordo, Duminda Suraweera, Aly Al-Amyn Valliani, Yvonka van Wijk, Praneeth Vepakomma, Bo Wang, Ge Wang, Nicholas Wang, Yirui Wang, Elisa Warner, Mattea Welch, Kimberly Wong, Zhenqin Wu, Fuyong Xing, Lei Xing, Ke Yan, Pingkun Yan, Lu Yang, Kristen W. Yeom, Robin Zachariah, Daniel Zeng, Lin Zhang, Ling Zhang, Xuhong Zhang, Li Zhou, James Zou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa320ae1c368b21aa83be70ba954784f
https://doi.org/10.1016/b978-0-12-821259-2.00035-1

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Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control

Autor: Daniel B. Neill, Daniel Zeng, Zhidong Cao

Artificial intelligence (AI) techniques have been widely applied to infectious disease outbreak detection and early warning, trend prediction, and public health response modeling and assessment. Such public health surveillance and response tasks of m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b4c5564d99054a079b064a58c474848
https://doi.org/10.1016/b978-0-12-821259-2.00022-3

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Big Data Analytics and the Struggle for Equity in Health Care: The Promise and Perils

Autor: Mary E. Charlson, Daniel B. Neill, Said A. Ibrahim

Publikováno v: Health Equity

Big data is both a product and a function of technology and the ever-growing analytic and computational power. The potential impact of big data in health care innovation cannot be ignored. The technology-mediated transformative potential of big data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::056a0e38609c2d2d91c0d52a20b0eee7
https://pubmed.ncbi.nlm.nih.gov/32258961

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