Home ›
Entities
› academia
› Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
Research article (Scientific Reports, 2023) · cited 10× · AI/ML
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
Summary
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups is a scholarly article[1].
Key Facts
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-architecture-for-gated-recurrent-unit-autoencoder-trained-on-time-series-from-electronic-health-records-enables-de
MLA“Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-architecture-for-gated-recurrent-unit-autoencoder-trained-on-time-series-from-electronic-health-records-enables-de.
BibTeX@misc{4ortxyz_novel-architecture-for-gated-recurrent-unit-autoencoder-trained-on-time-series-from-electronic-health-records-enables-de_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups}}, year = {2026}, url = {https://4ort.xyz/entity/novel-architecture-for-gated-recurrent-unit-autoencoder-trained-on-time-series-from-electronic-health-records-enables-de}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups — https://4ort.xyz/entity/novel-architecture-for-gated-recurrent-unit-autoencoder-trained-on-time-series-from-electronic-health-records-enables-de (retrieved 2026-05-24)
