@inproceedings{ee5275195337412e8c3da233ee85ffe8,
title = "Building a classification model for physician recommender service based on needs for physician information",
abstract = "This study aimed to analyze the questions asking for recommendations for doctors collected from Health category of Yahoo Answers. Questions of such implicitly describe the physician information needs in situations where choosing a new physician who fits the patients{\textquoteright} expectation is a top priority. 400 questions were analyzed qualitatively to induce the attributes of the articulated physician information needs of patients and caregivers of eight medical specialties. The attributes were categorized into physician-related, patient-related, illness and disease-related, and institution and procedural-related. The attributes inform practice in designing systems for context-based classification model for physician recommender service.",
keywords = "Classification model, Information needs, Physician information, Physician recommender service",
author = "Chiu, {Ming Hsin} and Cheng, {Wei Chung}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 3rd International Conference on HCI in Business, Government, and Organizations, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39399-5_3",
language = "English",
isbn = "9783319393988",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "28--38",
editor = "Chuan-Hoo Tan and Nah, {Fiona Fui-Hoon}",
booktitle = "HCI in Business, Government, and Organizations",
}