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Nabid Faiem

 https://orcid.org/0009-0002-2683-2908
20242026

Research activity per year

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  • 2 Conference contribution

  • Multimodal Machine Learning Approach for Timed-Up-and-Go Test Score Prediction from Wearable Gait Data

    Faiem, N., Asuroglu, T., Acici, K., Kallonen, A. & van Gils, M., 2026, Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support: Second Nordic Conference, NCDHWS 2026, Oulu, Finland, June 16–17, 2026, Proceedings, Part II. Springer, p. 31-50 (Communications in Computer and Information Science; vol. 3010 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    File
    1 Downloads (Pure)

  • Assessment of Parkinson’s Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach

    Faiem, N., Asuroglu, T., Acici, K., Kallonen, A. & van Gils, M., 2024, Digital Health and Wireless Solutions - 1st Nordic Conference, NCDHWS 2024, Proceedings. Särestöniemi, M., Keikhosrokiani, P., Singh, D., Harjula, E., Tiulpin, A., Jansson, M., Isomursu, M., Saarakkala, S., Reponen, J. & van Gils, M. (eds.). Springer, p. 29-48 20 p. (Communications in Computer and Information Science; vol. 2084 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    File
    17 Citations (Scopus)
    39 Downloads (Pure)