Michael Lachmann

Santa Fe Institute

1399 Hyde Park Road

Santa Fe, NM 87501

United States

SCHOLARLY PAPERS

2

DOWNLOADS

66

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (2)

1.

Cost Effective Proactive Testing Strategies During COVID-19 Mass Vaccination: A Modelling Study

Number of pages: 25 Posted: 01 Jul 2021
University of Texas at Austin, University of Cambridge - Department of Genetics, The University of Hong Kong, University of Texas at Austin, Yale University, Northeastern University - Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab), Northeastern University, Departments of Population Health Sciences and of Medicine, Weill Cornell Medicine, and Cornell Institute for Disease and Disaster Preparedness, Santa Fe Institute, Northeastern University, University of Maryland - Center for Vaccine Development and Global Health, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control and University of Texas at Austin
Downloads 55 (706,445)

Abstract:

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2.

Epidemiologic Information Discovery from Open-Access COVID-19 Case Reports Via Pretrained Language Model

Number of pages: 44 Posted: 17 Mar 2022
Dalian University of Technology, City University of Hong Kong, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Cambridge - Department of Genetics, Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management, affiliation not provided to SSRN, Santa Fe Institute, Dalian University of Technology, affiliation not provided to SSRN, Dalian Minzu University - College of Information and Communication Engineering and Dalian University of Technology - College of Computer Science and Technology
Downloads 11 (1,080,658)

Abstract:

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Epidemiologic information; Artificial Intelligence; COVID-19 case reports; Pretrained language model; Epidemiology; Natural language processing