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

Sort By:
Pageof 1
The American Journal of Managed Care|November 29, 2017
Reframing the unaffordability debate: patient responsibility for physician careKatherine Hempstead, Josh Gray, Anna Zink
Plos One|February 13, 2018
The managed clearing: An overlooked land-cover type in urbanizing regions?Kunwar K Singh, Marguerite Madden, Josh Gray, et al.
JMIR Public Health and Surveillance|October 4, 2019
Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative EvaluationKristin Baltrusaitis, Alessandro Vespignani, Roni Rosenfeld, et al.
BMC Infectious Diseases|May 10, 2017
Using electronic health records and Internet search information for accurate influenza forecastingShihao Yang, Mauricio Santillana, John S Brownstein, et al.
Plos One|February 2, 2022
Covid-19 and excess mortality in medicare beneficiariesScott D Greenwald, Nassib G Chamoun, Paul J Manberg, et al.
MMWR. Morbidity and Mortality Weekly Report|January 18, 2019
Opioid Prescribing Rates in Nonmetropolitan and Metropolitan Counties Among Primary Care Providers Using an Electronic Health Record System - United States, 2014-2017Macarena C García, Charles M Heilig, Scott H Lee, et al.
BMC Infectious Diseases|August 17, 2018
Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of AmericaKristin Baltrusaitis, John S Brownstein, Samuel V Scarpino, et al.
Arxiv|September 10, 2020
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data modelJingqi Wang, Noor Abu-El-Rub, Josh Gray, et al.
Journal of the American Medical Informatics Association : JAMIA|March 6, 2021
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data modelJingqi Wang, Noor Abu-El-Rub, Josh Gray, et al.
JMIR Public Health and Surveillance|January 11, 2018
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston MetropolisFred Sun Lu, Suqin Hou, Kristin Baltrusaitis, et al.
Pageof 1