Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study
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 o...
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sg-ntu-dr.10356-1539442023-05-19T07:31:18Z Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study 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 Nanyang Business School Business::General Readmission Risk Geriatrics 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. Ministry of Education (MOE) Published version This project is funded by the Social Science Research Council, Singapore (grant number MOE2017-SSRTG-030) and the Ageing Research Institute for Society and Education-Geriatric Education & Research Institute, Singapore (grant number AG2018001). 2022-06-06T04:50:17Z 2022-06-06T04:50:17Z 2021 Journal Article 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 1438-8871 https://hdl.handle.net/10356/153944 10.2196/26486 34665149 2-s2.0-85117912154 10 23 e26486 en MOE2017-SSRTG-030 AG2018001 Journal of Medical Internet Research © 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. application/pdf |
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Business::General Readmission Risk Geriatrics |
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Business::General Readmission Risk Geriatrics 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 Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| description |
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. |
| author2 |
Nanyang Business School |
| author_facet |
Nanyang Business School 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 |
| format |
Article |
| author |
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 |
| author_sort |
Goh, Kim Huat |
| title |
Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| title_short |
Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| title_full |
Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| title_fullStr |
Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| title_full_unstemmed |
Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| title_sort |
prediction of readmission in geriatric patients from clinical notes: retrospective text mining study |
| publishDate |
2022 |
| url |
https://hdl.handle.net/10356/153944 |
| _version_ |
1772828707086401536 |