Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model

Author:

Fabietti Marcos1ORCID,Mahmud Mufti1ORCID,Lotfi Ahmad1ORCID,Leparulo Alessandro2ORCID,Fontana Roberto3ORCID,Vassanelli Stefano3ORCID,Fasolato Cristina2ORCID

Affiliation:

1. Department of Computer Science, Nottingham Trent University, Nottingham, U.K

2. Department of Biomedical Sciences, University of Padova, Padova, Italy

3. Department of Physiology and Pharmacology, Sapienza Università di Roma, Rome, Italy

Funder

Nottingham Trent University Vice Chancellor’s Doctoral Fellowship

Nottingham Trent University’s Strategic Research Theme Springboard Fund

Italian Ministry of Education, Universities and Research

Cristina Fasolato

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Reference44 articles.

1. Applications of Deep Learning and Reinforcement Learning to Biological Data

2. The CA1 Region of the Human Hippocampus Is a Hot Spot in Alzheimer's Disease

3. Application of explainable artificial intelligence in Alzheimer’s disease classification: A systematic review;vimbi;SquareTrade Research,2023

4. Adult hippocampal neurogenesis in aging and Alzheimer’s disease;babcock;Stem Cell Rep,2021

5. Machine learning techniques for the diagnosis of Alzheimer’s disease: A review;tanveer;ACM Trans Multimedia Comput Commun Appl,2020

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