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Analysis of pain research literature through keyword Co-occurrence networks.
PLOS Digit Health. 2023 Sep 7;2(9):e0000331. doi: 10.1371/journal.pdig.0000331. eCollection 2023 Sep.
PLOS Digit Health. 2023.
PMID: 37676880
Free PMC article.
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal.
Pouromran F, Lin Y, Kamarthi S.
Pouromran F, et al.
Sensors (Basel). 2022 Oct 22;22(21):8087. doi: 10.3390/s22218087.
Sensors (Basel). 2022.
PMID: 36365785
Free PMC article.
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Exploration of physiological sensors, features, and machine learning models for pain intensity estimation.
Pouromran F, Radhakrishnan S, Kamarthi S.
Pouromran F, et al.
PLoS One. 2021 Jul 9;16(7):e0254108. doi: 10.1371/journal.pone.0254108. eCollection 2021.
PLoS One. 2021.
PMID: 34242325
Free PMC article.
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