Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153944
Title: Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study
Authors: Goh, Kim Huat 
Wang, Le
Yeow, Adrian Yong Kwang
Ding, Yew Yoong
Au, Lydia Shu Yi
Poh, Hermione Mei Niang
Li, Ke
Yeow, Joannas Jie Lin
Tan, Gamaliel Yu Heng
Keywords: Business::General
Issue Date: 2021
Source: Goh, K. H., Wang, L., Yeow, A. Y. K., Ding, Y. Y., Au, L. S. Y., Poh, H. M. N., Li, K., Yeow, J. J. L. & Tan, G. Y. H. (2021). Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study. Journal of Medical Internet Research, 23(10), e26486-. https://dx.doi.org/10.2196/26486
Project: MOE2017-SSRTG-030
AG2018001
Journal: Journal of Medical Internet Research
Abstract: Background: Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are rather recorded as free text in different types of clinical notes.
URI: https://hdl.handle.net/10356/153944
ISSN: 1438-8871
DOI: 10.2196/26486
Rights: © Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Yew Yoong Ding, Lydia Shu Yi Au, Hermione Mei Niang Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Yu Heng Tan. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.10.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:NBS Journal Articles

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