Author Correction: Opioid death projections with AI-based forecasts using social media language (npj Digital Medicine, (2023), 6, 1, (35), 10.1038/s41746-023-00776-0)

Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz

doi:10.1038/s41746-023-00793-z

Author Correction: Opioid death projections with AI-based forecasts using social media language (npj Digital Medicine, (2023), 6, 1, (35), 10.1038/s41746-023-00776-0)

Matthew Matero
, Salvatore Giorgi
, Brenda Curtis
, Lyle H. Ungar
, H. Andrew Schwartz

Computer Science

Stony Brook University
University of Pennsylvania
National Institutes of Health

Research output: Contribution to journal › Comment/debate

Abstract

The Acknowledgements statement is now amended to: ‘Support for this research was provided by the following grants: (1) Largescale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers (NIH-NIAAA R01 AA028032) and (2) Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in Population Mental Health (NIH-NIMH R01 MH125702). Additionally, this research was in part supported by the Intramural Research Program of the NIH (ZIA DA000628).’ The original Article has been corrected.

Original language	English
Article number	45
Journal	npj Digital Medicine
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41746-023-00793-z
State	Published - Dec 2023

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@article{f8c0a7d3fb324cd580234e6a7d5d1d87,

title = "Author Correction: Opioid death projections with AI-based forecasts using social media language (npj Digital Medicine, (2023), 6, 1, (35), 10.1038/s41746-023-00776-0)",

abstract = "The Acknowledgements statement is now amended to: {\textquoteleft}Support for this research was provided by the following grants: (1) Largescale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers (NIH-NIAAA R01 AA028032) and (2) Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in Population Mental Health (NIH-NIMH R01 MH125702). Additionally, this research was in part supported by the Intramural Research Program of the NIH (ZIA DA000628).{\textquoteright} The original Article has been corrected.",

author = "Matthew Matero and Salvatore Giorgi and Brenda Curtis and Ungar, \{Lyle H.\} and Schwartz, \{H. Andrew\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2023.",

year = "2023",

month = dec,

doi = "10.1038/s41746-023-00793-z",

language = "English",

volume = "6",

journal = "npj Digital Medicine",

issn = "2398-6352",

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}

TY - JOUR

T1 - Author Correction

T2 - Opioid death projections with AI-based forecasts using social media language (npj Digital Medicine, (2023), 6, 1, (35), 10.1038/s41746-023-00776-0)

AU - Matero, Matthew

AU - Giorgi, Salvatore

AU - Curtis, Brenda

AU - Ungar, Lyle H.

AU - Schwartz, H. Andrew

PY - 2023/12

Y1 - 2023/12

N2 - The Acknowledgements statement is now amended to: ‘Support for this research was provided by the following grants: (1) Largescale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers (NIH-NIAAA R01 AA028032) and (2) Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in Population Mental Health (NIH-NIMH R01 MH125702). Additionally, this research was in part supported by the Intramural Research Program of the NIH (ZIA DA000628).’ The original Article has been corrected.

AB - The Acknowledgements statement is now amended to: ‘Support for this research was provided by the following grants: (1) Largescale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers (NIH-NIAAA R01 AA028032) and (2) Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in Population Mental Health (NIH-NIMH R01 MH125702). Additionally, this research was in part supported by the Intramural Research Program of the NIH (ZIA DA000628).’ The original Article has been corrected.

UR - https://www.scopus.com/pages/publications/85150847158

U2 - 10.1038/s41746-023-00793-z

DO - 10.1038/s41746-023-00793-z

M3 - Comment/debate

AN - SCOPUS:85150847158

SN - 2398-6352

VL - 6

JO - npj Digital Medicine

JF - npj Digital Medicine

IS - 1

M1 - 45

ER -

Author Correction: Opioid death projections with AI-based forecasts using social media language (npj Digital Medicine, (2023), 6, 1, (35), 10.1038/s41746-023-00776-0)

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