Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking

التفاصيل البيبلوغرافية
العنوان: Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking
المؤلفون: Nicole D. Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale
المصدر: Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, pp. 1-12
Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, 1-12
سنة النشر: 2022
مصطلحات موضوعية: Artificial Intelligence, Control and Systems Engineering, Alzheimer's disease prediction, Neurodegenerative diseases, Data Science, Handwriting analysis, Classification and combining strategies, Health data, Neurodegenerative diseases Health data Alzheimer’s disease prediction Handwriting analysis Classification and combining strategies, Electrical and Electronic Engineering
الوصف: Contains fulltext : 250428.pdf (Publisher’s version ) (Closed access)
وصف الملف: application/pdf
تدمد: 0952-1976
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab03a30734a2e288f339a40558fa6d7
https://repository.ubn.ru.nl/handle/2066/250428
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....aab03a30734a2e288f339a40558fa6d7
قاعدة البيانات: OpenAIRE