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Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure
Research article (The EPMA Journal, 2021) · cited 14× · AI/ML
Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure
Summary
Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure is a scholarly article[1].
Key Facts
Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure's instance of is recorded as scholarly article[2].
References
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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). Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure. Retrieved May 24, 2026, from https://4ort.xyz/entity/hidden-markov-model-segmentation-to-demarcate-trajectories-of-residual-apnoea-hypopnoea-index-in-cpap-treated-sleep-apno
MLA“Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hidden-markov-model-segmentation-to-demarcate-trajectories-of-residual-apnoea-hypopnoea-index-in-cpap-treated-sleep-apno.
BibTeX@misc{4ortxyz_hidden-markov-model-segmentation-to-demarcate-trajectories-of-residual-apnoea-hypopnoea-index-in-cpap-treated-sleep-apno_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure}}, year = {2026}, url = {https://4ort.xyz/entity/hidden-markov-model-segmentation-to-demarcate-trajectories-of-residual-apnoea-hypopnoea-index-in-cpap-treated-sleep-apno}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure — https://4ort.xyz/entity/hidden-markov-model-segmentation-to-demarcate-trajectories-of-residual-apnoea-hypopnoea-index-in-cpap-treated-sleep-apno (retrieved 2026-05-24)
