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Anna L Buczak

Showing results (1-10 of 10) with videos related to

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BMC Medical Informatics and Decision Making|October 16, 2010
Data-driven approach for creating synthetic electronic medical recordsAnna L Buczak, Steven Babin, Linda Moniz
BMC Medical Informatics and Decision Making|October 21, 2016
Predicting influenza with dynamical methodsLinda Moniz, Anna L Buczak, Ben Baugher, et al.
Online Journal of Public Health Informatics|April 10, 2013
Construction and validation of synthetic electronic medical recordsLinda Moniz, Anna L Buczak, Lang Hung, et al.
Plos One|January 4, 2018
Ensemble method for dengue predictionAnna L Buczak, Benjamin Baugher, Linda J Moniz, et al.
BMC Medical Informatics and Decision Making|November 7, 2012
A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing dataAnna L Buczak, Phillip T Koshute, Steven M Babin, et al.
Biomedical Engineering and Computational Biology|April 30, 2016
Prediction of Peaks of Seasonal Influenza in Military Health-Care DataAnna L Buczak, Benjamin Baugher, Erhan Guven, et al.
BMC Medical Informatics and Decision Making|June 19, 2015
Fuzzy association rule mining and classification for the prediction of malaria in South KoreaAnna L Buczak, Benjamin Baugher, Erhan Guven, et al.
Plos Neglected Tropical Diseases|April 12, 2014
Prediction of high incidence of dengue in the PhilippinesAnna L Buczak, Benjamin Baugher, Steven M Babin, et al.
BMC Public Health|March 11, 2011
The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaksClara J Witt, Allen L Richards, Penny M Masuoka, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 13, 2019
An open challenge to advance probabilistic forecasting for dengue epidemicsMichael A Johansson, Karyn M Apfeldorf, Scott Dobson, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
BMC Medical Informatics and Decision Making|October 16, 2010
Data-driven approach for creating synthetic electronic medical recordsAnna L Buczak, Steven Babin, Linda Moniz
BMC Medical Informatics and Decision Making|October 21, 2016
Predicting influenza with dynamical methodsLinda Moniz, Anna L Buczak, Ben Baugher, et al.
Online Journal of Public Health Informatics|April 10, 2013
Construction and validation of synthetic electronic medical recordsLinda Moniz, Anna L Buczak, Lang Hung, et al.
Plos One|January 4, 2018
Ensemble method for dengue predictionAnna L Buczak, Benjamin Baugher, Linda J Moniz, et al.
BMC Medical Informatics and Decision Making|November 7, 2012
A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing dataAnna L Buczak, Phillip T Koshute, Steven M Babin, et al.
Biomedical Engineering and Computational Biology|April 30, 2016
Prediction of Peaks of Seasonal Influenza in Military Health-Care DataAnna L Buczak, Benjamin Baugher, Erhan Guven, et al.
BMC Medical Informatics and Decision Making|June 19, 2015
Fuzzy association rule mining and classification for the prediction of malaria in South KoreaAnna L Buczak, Benjamin Baugher, Erhan Guven, et al.
Plos Neglected Tropical Diseases|April 12, 2014
Prediction of high incidence of dengue in the PhilippinesAnna L Buczak, Benjamin Baugher, Steven M Babin, et al.
BMC Public Health|March 11, 2011
The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaksClara J Witt, Allen L Richards, Penny M Masuoka, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 13, 2019
An open challenge to advance probabilistic forecasting for dengue epidemicsMichael A Johansson, Karyn M Apfeldorf, Scott Dobson, et al.
Pageof 1