Ben Reis

Ben Reis, PhD

Associate Professor of Pediatrics, Boston Children's Hospital
Affiliate Member, Department of Biomedical Informatics, Harvard Medical School

Ben Reis is Director of the Predictive Medicine Group and a member of the Faculty of Harvard Medical School and the Boston Children's Hospital Computational Health Informatics Program. His research focuses on understanding the fundamental patterns of human disease and on developing novel approaches for predicting disease. He has conducted large-scale population studies of COVID-19 vaccine effectiveness and safety, and developed novel methods for tracking and understanding pandemics through digital information sources. He has created systems that allow doctors to predict dangerous clinical conditions years in advance, including suicide and domestic abuse, as well as predictive pharmacology systems able to identify life-threatening adverse drug side-effects years in advance. He has advised the US government on establishing national biodefense systems, the Hong Kong government on building health infrastructure in response to pandemics, and various governments on establishing biodefense systems in advance of hosting the Olympic Games. He has been honored at the White House for his work on harnessing social networks to promote health, and was named one of the top health innovators in the world by the US State Department, USAID and NASA.
 

AEGIS: a robust and scalable real-time public health surveillance system.
Authors: Reis BY, Kirby C, Hadden LE, Olson K, McMurry AJ, Daniel JB, Mandl KD.
J Am Med Inform Assoc
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A self-scaling, distributed information architecture for public health, research, and clinical care.
Authors: McMurry AJ, Gilbert CA, Reis BY, Chueh HC, Kohane IS, Mandl KD.
J Am Med Inform Assoc
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An epidemiological network model for disease outbreak detection.
Authors: Reis BY, Kohane IS, Mandl KD.
PLoS Med
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Running outside the baseline: impact of the 2004 Major League Baseball postseason on emergency department use.
Authors: Reis BY, Brownstein JS, Mandl KD.
Ann Emerg Med
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Measuring outbreak-detection performance by using controlled feature set simulations.
Authors: Mandl KD, Reis B, Cassa C.
MMWR Suppl
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Syndromic surveillance: the effects of syndrome grouping on model accuracy and outbreak detection.
Authors: Reis BY, Mandl KD.
Ann Emerg Med
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Use of emergency department chief complaint and diagnostic codes for identifying respiratory illness in a pediatric population.
Authors: Beitel AJ, Olson KL, Reis BY, Mandl KD.
Pediatr Emerg Care
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Using temporal context to improve biosurveillance.
Authors: Reis BY, Pagano M, Mandl KD.
Proc Natl Acad Sci U S A
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Time series modeling for syndromic surveillance.
Authors: Reis BY, Mandl KD.
BMC Med Inform Decis Mak
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Integrating syndromic surveillance data across multiple locations: effects on outbreak detection performance.
Authors: Reis BY, Mandl KD.
AMIA Annu Symp Proc
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