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A systematic review of Alzheimer's disease detection based on speech and natural language processing
Title A systematic review of Alzheimer's disease detection based on speech and natural language processing Author Ševčík Adam SAVINFO - Ústav informatiky SAV Co-authors Rusko Milan 1960- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document 2022 32nd international conference Radioelektronika : Proceedings. P. 1-5. - Danvers : IEEE, 2022 Language eng - English Country US - United States of America Document kind rozpis článkov z periodík (rzb) Citations FLORICEL, C. - EPIFANO, J. - CAAMANO, S. - KARK, S. - CHRISTIE, R. - MASINO, A. - PAREDES, A.D. Opening access to visual exploration of audiovisual digital biomarkers: An OpenDBM analytics tool. In 2022 IEEE VIS Workshop - Visualization in BioMedical AI. 2022, pp. 1-6. doi: 10.48550/arXiv.2210.01618. ZOKAEINIKOO, M. - KAZEMIAN, P. - MITRA, P. Interpretable hierarchical deep learning model for noninvasive Alzheimer’s disease diagnosis. In Informs Journal on Data Science. 2023, vol. 2, no. 2, pp. 183-196. doi: 10.1287/ijds.2020.0005. KARANDE, Shridevi - KULKARNI, Vrushali. Advancing Neurodegenerative Disorder Diagnosis: A Machine Learning-Driven Evaluation of Assessment Modalities. In International Journal of Intelligent Systems and Applications in Engineering, 2024-01-01, 12, 5s, pp. 309-323. SUBRAMANIAN, K. - HAJAMOHIDEEN, F. - VISWAN, V. - SHAFFI, N. - MAHMUD, M. Exploring intervention techniques for Alzheimer's disease: Conventional methods and the role of AI in advancing care. In Artificial Intelligence and Applications. 2024, pp. 1-23. doi: 10.47852/bonview42022497. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2022 Registered in WOS Registered in SCOPUS DOI 10.1109/RADIOELEKTRONIKA54537.2022.9764938 
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