Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))

Ming Huang; Maryam Zolnoori; Joyce E. Balls-Berry; Tabetha A. Brockman; Christi A. Patten; Lixia Yao

doi:10.2196/14678

Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))

Ming Huang
, Maryam Zolnoori
, Joyce E. Balls-Berry
, Tabetha A. Brockman
, Christi A. Patten
, Lixia Yao

Research output: Contribution to journal › Comment/debate

Abstract

[This corrects the article DOI: 10.2196/13316.].

Original language	English
Pages (from-to)	e14678
Journal	Journal of medical Internet research
Volume	21
Issue number	7
DOIs	https://doi.org/10.2196/14678
State	Published - Jul 5 2019

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10.2196/14678

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Huang, M., Zolnoori, M., Balls-Berry, J. E., Brockman, T. A., Patten, C. A., & Yao, L. (2019). Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316)). Journal of medical Internet research, 21(7), e14678. https://doi.org/10.2196/14678

@article{5629fc4b914d4e22bf1d7513771d2389,

title = "Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))",

abstract = "[This corrects the article DOI: 10.2196/13316.].",

author = "Ming Huang and Maryam Zolnoori and Balls-Berry, \{Joyce E.\} and Brockman, \{Tabetha A.\} and Patten, \{Christi A.\} and Lixia Yao",

note = "Publisher Copyright: {\textcopyright}Ming Huang, Maryam Zolnoori, Joyce E Balls-Berry, Tabetha A Brockman, Christi A Patten, Lixia Yao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.07.2019.",

year = "2019",

month = jul,

day = "5",

doi = "10.2196/14678",

language = "English",

volume = "21",

pages = "e14678",

journal = "Journal of medical Internet research",

issn = "1438-8871",

number = "7",

}

Huang, M, Zolnoori, M, Balls-Berry, JE, Brockman, TA, Patten, CA & Yao, L 2019, 'Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))', Journal of medical Internet research, vol. 21, no. 7, pp. e14678. https://doi.org/10.2196/14678

Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316)). / Huang, Ming; Zolnoori, Maryam; Balls-Berry, Joyce E. et al.
In: Journal of medical Internet research, Vol. 21, No. 7, 05.07.2019, p. e14678.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Erratum

T2 - Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))

AU - Huang, Ming

AU - Zolnoori, Maryam

AU - Balls-Berry, Joyce E.

AU - Brockman, Tabetha A.

AU - Patten, Christi A.

AU - Yao, Lixia

N1 - Publisher Copyright: ©Ming Huang, Maryam Zolnoori, Joyce E Balls-Berry, Tabetha A Brockman, Christi A Patten, Lixia Yao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.07.2019.

PY - 2019/7/5

Y1 - 2019/7/5

N2 - [This corrects the article DOI: 10.2196/13316.].

AB - [This corrects the article DOI: 10.2196/13316.].

UR - https://www.scopus.com/pages/publications/85069269662

U2 - 10.2196/14678

DO - 10.2196/14678

M3 - Comment/debate

C2 - 31278733

AN - SCOPUS:85069269662

SN - 1438-8871

VL - 21

SP - e14678

JO - Journal of medical Internet research

JF - Journal of medical Internet research

IS - 7

ER -

Erratum: Multimedia Appendix Correction: Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Journal of medical Internet research (2019) 21 4 (e13316))

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