TY - GEN
T1 - Semantic processing of personality description for depression patients
AU - Huang, Zhisheng
AU - Hu, Qing
AU - Wang, Haiyuan
AU - Zhang, Yahan
AU - Yang, Jie
AU - Wang, Gang
PY - 2019
Y1 - 2019
N2 - The personality description has been considered to be an important part of the electronic medical records (EMRs) for depression in-patients. However, the personality description of a patient is usually provided by a family member of the patient when he or she is admitted to the hospital. Because of non-professional background of those family members, personality descriptions in EMRS have various problems such as non-standard description, confusion between personality and behavior, and others. In this paper, we propose an approach to dealing with non-standard description of personality for depression patients by introducing a semantic relevance measure of personality. Furthermore, we make a mapping of those personality description items into the personality items in the well-known personality model of the Sixteen Personality Factor Questionnaire (16PF). We find some interesting observations on the connection between existing personality description in EMRs and the personality items in the 16PF model, and suggest possible improvement of the personality description in EMRs for depression patients.
AB - The personality description has been considered to be an important part of the electronic medical records (EMRs) for depression in-patients. However, the personality description of a patient is usually provided by a family member of the patient when he or she is admitted to the hospital. Because of non-professional background of those family members, personality descriptions in EMRS have various problems such as non-standard description, confusion between personality and behavior, and others. In this paper, we propose an approach to dealing with non-standard description of personality for depression patients by introducing a semantic relevance measure of personality. Furthermore, we make a mapping of those personality description items into the personality items in the well-known personality model of the Sixteen Personality Factor Questionnaire (16PF). We find some interesting observations on the connection between existing personality description in EMRs and the personality items in the 16PF model, and suggest possible improvement of the personality description in EMRs for depression patients.
KW - 16 Personality Factor (16PF)
KW - Depression
KW - Personality
KW - Semantic processing
KW - Semantic relevance measure
UR - http://www.scopus.com/inward/record.url?scp=85075669972&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075669972&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-32962-4_24
DO - 10.1007/978-3-030-32962-4_24
M3 - Conference contribution
AN - SCOPUS:85075669972
SN - 9783030329617
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 263
EP - 275
BT - Health Information Science
A2 - Wang, Hua
A2 - Siuly, Siuly
A2 - Zhang, Yanchun
A2 - Zhou, Rui
A2 - Martin-Sanchez, Fernando
A2 - Huang, Zhisheng
PB - Springer
T2 - 8th International Conference on Health Information Science, HIS 2019
Y2 - 18 October 2019 through 20 October 2019
ER -