Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity

Hartung M, Schwering N, Loonus Y, Cimiano P, Jaeger AA, Collins B (2021)
Quality of Life Research 30(SUPPL 1): S28.

Kurzbeitrag Konferenz / Poster | Veröffentlicht | Englisch
 
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Autor*in
Hartung, MatthiasUniBi ; Schwering, Nathalie; Loonus, Yannick; Cimiano, PhilippUniBi ; Jaeger, Anna A.; Collins, Ben
herausgebende Körperschaft
International Society for Quality of Life Research
Erscheinungsjahr
2021
Serien- oder Zeitschriftentitel
Quality of Life Research
Band
30
Ausgabe
SUPPL 1
Seite(n)
S28
Konferenz
28th Annual Conference of the International Society for Quality of Life Research
ISSN
0962-9343
eISSN
1573-2649
Page URI
https://pub.uni-bielefeld.de/record/2959734

Zitieren

Hartung M, Schwering N, Loonus Y, Cimiano P, Jaeger AA, Collins B. Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity. Quality of Life Research. 2021;30(SUPPL 1):S28.
Hartung, M., Schwering, N., Loonus, Y., Cimiano, P., Jaeger, A. A., & Collins, B. (2021). Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity. Quality of Life Research, 30(SUPPL 1), S28.
Hartung, Matthias, Schwering, Nathalie, Loonus, Yannick, Cimiano, Philipp, Jaeger, Anna A., and Collins, Ben. 2021. “Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity”, Quality of Life Research, 30 (SUPPL 1): S28.
Hartung, M., Schwering, N., Loonus, Y., Cimiano, P., Jaeger, A. A., and Collins, B. (2021). Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity. Quality of Life Research 30, S28.
Hartung, M., et al., 2021. Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity. Quality of Life Research, 30(SUPPL 1), p S28.
M. Hartung, et al., “Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity”, Quality of Life Research, vol. 30, 2021, pp. S28.
Hartung, M., Schwering, N., Loonus, Y., Cimiano, P., Jaeger, A.A., Collins, B.: Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity. Quality of Life Research. 30, S28 (2021).
Hartung, Matthias, Schwering, Nathalie, Loonus, Yannick, Cimiano, Philipp, Jaeger, Anna A., and Collins, Ben. “Automatically analyzing online patient experience data with Natural Language Processing: an instrument to investigate health status and help-seeking factors in patients with obesity”. Quality of Life Research 30.SUPPL 1 (2021): S28.
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