TY - GEN
T1 - From Novice to Expert Narratives of Dermatological Disease
AU - Obot, Nse
AU - Ormalley, Laura
AU - Nwogu, Ifeoma
AU - Yu, Qi
AU - Shi, Wei Shi
AU - Guo, Xuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/2
Y1 - 2018/10/2
N2 - Medical diagnosis requires extensive knowledge of pathological characteristics and the clinical training necessary to master specific domains. In the domain of dermatology, these properties include the size, shape, distribution, color, and location of symptoms. We have built and trained a tag recommender with expert narratives of dermatological disease, then explored the effectiveness of this system on novice narratives. The system mitigates the prerequisite of domain knowledge, empowering a novice to enhance their medical descriptions or even reach an accurate diagnosis. After collecting novice narratives, we explored word alignment to provide a mapping between expert and novice vocabulary allowing novice input to be augmented with expert terminology. Ultimately, we found that our system is an effective educational tool, which could be improved by word alignment and other techniques.
AB - Medical diagnosis requires extensive knowledge of pathological characteristics and the clinical training necessary to master specific domains. In the domain of dermatology, these properties include the size, shape, distribution, color, and location of symptoms. We have built and trained a tag recommender with expert narratives of dermatological disease, then explored the effectiveness of this system on novice narratives. The system mitigates the prerequisite of domain knowledge, empowering a novice to enhance their medical descriptions or even reach an accurate diagnosis. After collecting novice narratives, we explored word alignment to provide a mapping between expert and novice vocabulary allowing novice input to be augmented with expert terminology. Ultimately, we found that our system is an effective educational tool, which could be improved by word alignment and other techniques.
KW - Dermatology
KW - Expert systems
KW - Graphical user interfaces
KW - Medical diagnosis
KW - Natural language processing
KW - Recommender systems
KW - Semantics
KW - Support vector machines
UR - https://www.scopus.com/pages/publications/85056451714
U2 - 10.1109/PERCOMW.2018.8480162
DO - 10.1109/PERCOMW.2018.8480162
M3 - Conference contribution
AN - SCOPUS:85056451714
T3 - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
SP - 131
EP - 136
BT - Proceedings - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
Y2 - 19 March 2018 through 23 March 2018
ER -