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Spatio-temporal autoencoder for feature learning in patient data with missing observations

Research article (2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017) · cited 23× · AI/ML
academia openalex:W2774564043
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Spatio-temporal autoencoder for feature learning in patient data with missing observations

Summary

Spatio-temporal autoencoder for feature learning in patient data with missing observations is a scholarly article[1].

Key Facts

  • Spatio-temporal autoencoder for feature learning in patient data with missing observations's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Spatio-temporal autoencoder for feature learning in patient data with missing observations. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatio-temporal-autoencoder-for-feature-learning-in-patient-data-with-missing-observations
MLA “Spatio-temporal autoencoder for feature learning in patient data with missing observations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatio-temporal-autoencoder-for-feature-learning-in-patient-data-with-missing-observations.
BibTeX @misc{4ortxyz_spatio-temporal-autoencoder-for-feature-learning-in-patient-data-with-missing-observations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatio-temporal autoencoder for feature learning in patient data with missing observations}}, year = {2026}, url = {https://4ort.xyz/entity/spatio-temporal-autoencoder-for-feature-learning-in-patient-data-with-missing-observations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatio-temporal autoencoder for feature learning in patient data with missing observations — https://4ort.xyz/entity/spatio-temporal-autoencoder-for-feature-learning-in-patient-data-with-missing-observations (retrieved 2026-05-24)

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