Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet

Pérez Toro PA, Rodriguez Salas D, Arias Vergara T, Klumpp P, Schuster M, Nöth E, Orozco-Arroyave JR, Maier A (2022)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2022

Journal

Smart Health Elsevier

Publisher: Elsevier B.V.

Book Volume: 26

Article Number: 100347

DOI: 10.1016/j.smhl.2022.100347

Authors with CRIS profile

Paula Andrea Pérez Toro Technische Fakultät Dalia Rodriguez Salas Lehrstuhl für Informatik 5 (Mustererkennung) Tomás Arias Vergara Professur für Informatik (Mustererkennung) Philipp Klumpp Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO) Ludwig-Maximilians-Universität (LMU) DE Germany (DE)

How to cite

APA:

Pérez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Klumpp, P., Schuster, M., Nöth, E.,... Maier, A. (2022). Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet. Smart Health, 26. https://dx.doi.org/10.1016/j.smhl.2022.100347

MLA:

Pérez Toro, Paula Andrea, et al. "Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet." Smart Health 26 (2022).

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