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An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
Research article (Artificial Intelligence in Medicine, 2023) · cited 19× · AI/ML
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
Summary
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care is a scholarly article[1].
Key Facts
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-deep-learning-model-for-time-series-electronic-health-records-case-study-of-delirium-prediction-in-crit
MLA“An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-deep-learning-model-for-time-series-electronic-health-records-case-study-of-delirium-prediction-in-crit.
BibTeX@misc{4ortxyz_an-interpretable-deep-learning-model-for-time-series-electronic-health-records-case-study-of-delirium-prediction-in-crit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-deep-learning-model-for-time-series-electronic-health-records-case-study-of-delirium-prediction-in-crit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care — https://4ort.xyz/entity/an-interpretable-deep-learning-model-for-time-series-electronic-health-records-case-study-of-delirium-prediction-in-crit (retrieved 2026-05-24)
