TY  - CPAPER
AU  - Hosseini-Kivanani, Nina
AU  - García Martín, Elena Salobrar
AU  - Elvira Hurtado, Lorena
AU  - López Cuenca, Inés
AU  - Hoz Montañana, María Rosa De
AU  - Ramírez Sebastián, José Manuel
AU  - Gil Gregorio, Pedro
AU  - Salas Carrillo, Mario
AU  - Schommer, Christoph
AU  - Leiva, Luis A.
A2  - Association for Computing Machinery
PY  - 2024
DO  - 10.1145/3673971.3673992
SN  - 979-8-4007-1687-4/24/05
UR  - https://hdl.handle.net/20.500.14352/117870
AB  - We investigate the use of handwriting data as a means of predicting early symptoms of Alzheimer's disease (AD). Thirty-six subjects were classified based on the standardized pentagon drawing test (PDT) using deep learning (DL) models. We also compare...
LA  - eng
M2  - 6 páginas
KW  - Alzheimer's Disease
KW  - Pentagon Drawing Test
KW  - Data Augmentation
KW  - Image Classification
KW  - Machine Learning
KW  - Deep Learning
KW  - Screening
TI  - Ink of Insight: Data Augmentation for Dementia Screening through Handwriting Analysis
TY  - conference paper
ER  -