TY - GEN
T1 - Mining Transportation Issues from Patient Portal Messages
AU - Wang, Nan
AU - Huang, Ming
AU - Fan, Jungwei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Some patients experience difficulties in accessing healthcare because they were not able to find reliable transportation. For this project, we collected every patient portal message sent by patients in 2019 and selected every message with words related to transportation. We ended up with 177,658 words out of the original 59 million words and we plan to implement sentence embedding and clustering, followed by t-SNE dimensionality reduction.
AB - Some patients experience difficulties in accessing healthcare because they were not able to find reliable transportation. For this project, we collected every patient portal message sent by patients in 2019 and selected every message with words related to transportation. We ended up with 177,658 words out of the original 59 million words and we plan to implement sentence embedding and clustering, followed by t-SNE dimensionality reduction.
KW - health services accessibility
KW - patient portals
KW - transportation of patients
UR - http://www.scopus.com/inward/record.url?scp=85139073486&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139073486&partnerID=8YFLogxK
U2 - 10.1109/ICHI54592.2022.00100
DO - 10.1109/ICHI54592.2022.00100
M3 - Conference contribution
AN - SCOPUS:85139073486
T3 - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
SP - 532
EP - 533
BT - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Y2 - 11 June 2022 through 14 June 2022
ER -