Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System
Conferences
Wosik, J; Si, S; Henao, R; Carin, L; Patel, MR
Published in: CIRCULATION
November 19, 2019
Duke Scholars
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Published In
CIRCULATION
EISSN
1524-4539
ISSN
0009-7322
Publication Date
November 19, 2019
Volume
140
Related Subject Headings
- Cardiovascular System & Hematology
- 4207 Sports science and exercise
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
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Wosik, J., Si, S., Henao, R., Carin, L., & Patel, M. R. (2019). Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System. In CIRCULATION (Vol. 140).
Wosik, Jedrek, Shijing Si, Ricardo Henao, Lawrence Carin, and Manesh R. Patel. “Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System.” In CIRCULATION, Vol. 140, 2019.
Wosik J, Si S, Henao R, Carin L, Patel MR. Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System. In: CIRCULATION. 2019.
Wosik, Jedrek, et al. “Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System.” CIRCULATION, vol. 140, 2019.
Wosik J, Si S, Henao R, Carin L, Patel MR. Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System. CIRCULATION. 2019.
Published In
CIRCULATION
EISSN
1524-4539
ISSN
0009-7322
Publication Date
November 19, 2019
Volume
140
Related Subject Headings
- Cardiovascular System & Hematology
- 4207 Sports science and exercise
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology