Home ›
Entities
› academia
› Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study
Research article (Statistical Methods in Medical Research, 2020) · cited 24× · AI/ML
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study
Summary
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study is a scholarly article[1].
Key Facts
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study'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). Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study. Retrieved May 24, 2026, from https://4ort.xyz/entity/utilizing-time-series-data-embedded-in-electronic-health-records-to-develop-continuous-mortality-risk-prediction-models-
MLA“Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utilizing-time-series-data-embedded-in-electronic-health-records-to-develop-continuous-mortality-risk-prediction-models-.
BibTeX@misc{4ortxyz_utilizing-time-series-data-embedded-in-electronic-health-records-to-develop-continuous-mortality-risk-prediction-models-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study}}, year = {2026}, url = {https://4ort.xyz/entity/utilizing-time-series-data-embedded-in-electronic-health-records-to-develop-continuous-mortality-risk-prediction-models-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study — https://4ort.xyz/entity/utilizing-time-series-data-embedded-in-electronic-health-records-to-develop-continuous-mortality-risk-prediction-models- (retrieved 2026-05-24)
