Login / Signup
Benjamin Lucas
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 7
Top Topics
Machine Learning
Artificial Intelligence
Infectious Diseases
Mental Health
Top Venues
Journal of urban health : bulletin of the New York Academy of Medicine
International journal of data science and analytics
</>
This page only lists publications with an associated author ORCID identifier.
Publications
</>
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
(2023)
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
(2023)
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
100 (1) (2023)
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
100 (1) (2023)
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
100 (1) (2023)
Morteza Karimzadeh
,
Thoai Dinh Ngo
,
Benjamin Lucas
,
Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.
Journal of urban health : bulletin of the New York Academy of Medicine
100 (1) (2023)
Benjamin Lucas
,
Behzad Vahedi
,
Morteza Karimzadeh
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA.
International journal of data science and analytics
(2022)