@inproceedings{0dc11ad74bea41d1a4ba2ee25e35dc53,
title = "Developing Parameters for a Technology to Predict Patient Satisfaction in Naturalistic Clinical Encounters",
keywords = "Automatic feedback system, Decision tree, Healthcare IT \& Automation, Machine learning, Patient satisfaction, Quality and safety in healthcare",
author = "Tianyi Tan and Enid Montague and Jacob Furst and Daniela Raicu",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 11th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 ; Conference date: 19-07-2020 Through 24-07-2020",
year = "2020",
doi = "10.1007/978-3-030-49904-4\_35",
language = "English",
isbn = "9783030499037",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "473--490",
editor = "Duffy, \{Vincent G.\}",
booktitle = "Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health - 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings",
}