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Doljinsuren Enkhbayar

Showing results (1-10 of 5) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Multimodal AI model for Detecting Parkinson's Disease based on Nocturnal Multichannel Physiological SignalsSomin Oh, Jaehoon Ko, Doljinsuren Enkhbayar, et al.
Bioengineering (Basel, Switzerland)|February 26, 2025
Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic PhenotypesDoljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, et al.
Journal of Medical Systems|March 3, 2026
Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device DataJaehoon Ko, Somin Oh, Doljinsuren Enkhbayar, et al.
NPJ Digital Medicine|November 17, 2025
Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysisDong Hui Shin, Doljinsuren Enkhbayar, So Yeon Park, et al.
Materials (Basel, Switzerland)|August 10, 2024
Chitosan Extracted from the Biomass of <i>Tenebrio molitor</i> Larvae as a Sustainable Packaging FilmChacha Saidi Mwita, Riaz Muhammad, Ezekiel Edward Nettey-Oppong, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Multimodal AI model for Detecting Parkinson's Disease based on Nocturnal Multichannel Physiological SignalsSomin Oh, Jaehoon Ko, Doljinsuren Enkhbayar, et al.
Bioengineering (Basel, Switzerland)|February 26, 2025
Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic PhenotypesDoljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, et al.
Journal of Medical Systems|March 3, 2026
Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device DataJaehoon Ko, Somin Oh, Doljinsuren Enkhbayar, et al.
NPJ Digital Medicine|November 17, 2025
Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysisDong Hui Shin, Doljinsuren Enkhbayar, So Yeon Park, et al.
Materials (Basel, Switzerland)|August 10, 2024
Chitosan Extracted from the Biomass of <i>Tenebrio molitor</i> Larvae as a Sustainable Packaging FilmChacha Saidi Mwita, Riaz Muhammad, Ezekiel Edward Nettey-Oppong, et al.
Pageof 1