Exploring Alzheimer's disease prediction with XAI in various neural network models

Exploring Alzheimer's disease prediction with XAI in various neural network models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Main Authors:	Rahman, Quazi Ashikur, Shad, Hamza Ahmed, Asad, Nashita Binte, Bakshi, Atif Zawad, Mursalin, S.M Faiaz
Outros Autores:	Parvez, Mohammad Zavid
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	Early detection of AD Alzheimer's disease CNN model for AD detection Explainable artificial intelligence XAI LIME Neural networks (Computer science) Artificial intelligence Alzheimer's disease.
Acesso em linha:	http://hdl.handle.net/10361/16362

Registos relacionados

Bank loan prediction using machine learning
Por: Mahottam, Parthosarothi, et al.
Publicado em: (2023)

An ambient assisted living system for Alzheimer’s patients
Por: Abedin, Minhajul, et al.
Publicado em: (2023)

Emerging therapies of Alzheimer’s disease: a comprehensive review
Por: Tasin, Md Abtahi
Publicado em: (2023)

Efficacy of Rivastigmine in Alzheimer’s disease- A structured seview
Por: Alim, Abdul
Publicado em: (2023)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
Por: Rahman, Masroor, et al.
Publicado em: (2023)

Gender-specific Rhabdomyolysis risk in Alzheimer’s disease patients receiving memantine: a pharmacovigilance study
Por: Tabassum, Nadira
Publicado em: (2024)

Knowledge of Alzheimer’s disease and its relationship with attitude towards genetic testing for the disease: a survey of the general public in Bangladesh
Por: Chowdhury, Sariya Uzrat
Publicado em: (2022)

A pharmacovigilance study to determine risk of mortality in male and female patients with Alzheimer's disease using Rivastigmine
Por: Shehab, Habibul Mohsin
Publicado em: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
Por: Ifty, Md. Hasin Sarwar, et al.
Publicado em: (2024)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
Por: Radiah, Faiza, et al.
Publicado em: (2024)

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
Por: Rahman, Anika
Publicado em: (2024)

Heart attack prediction using machine learning and XAI
Por: Ahsan, Mumtahina
Publicado em: (2023)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
Por: Rahman, Tahsinur, et al.
Publicado em: (2023)

Role of protein’s and future treatment options for Alzheimer’s Disease
Por: Islam, Md. Irfath
Publicado em: (2023)

Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
Por: Kabir, Azmain, et al.
Publicado em: (2022)

Review on: Contribution of nutrients to retard the progression of Alzheimer’s disease
Por: Saha, Bithi Rani
Publicado em: (2023)

Voice impersonation detection using LSTM based RNN and explainable AI
Por: Barua, Kawshik, et al.
Publicado em: (2022)

Comprehensive review on importance, challenges and future prospects of nanotechnology and combination therapy for Alzheimer’s disease
Por: Ishrat, Nowshin
Publicado em: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
Por: Haque, Abid Hossain, et al.
Publicado em: (2024)

Alzheimer's disease and marriage : an intimate account /
Por: Wright, Lore K.
Publicado em: (1993)

Signal detection of Rhabdomyolysis and death for galantamine: a pharmacovigilance study
Por: Karmaker, Swastika
Publicado em: (2024)

Progress of finding latent therapeutic activity of vaccine for Alzheimer’s disease
Por: Hassan, Md. Muhtaz
Publicado em: (2020)

Machine learning approach for ECG analysis and predicting different heart diseases
Por: Tithi, Sushmita Roy, et al.
Publicado em: (2019)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
Por: Farhan, Rafid, et al.
Publicado em: (2024)

Glymphatic system: a pathway for managing endogenous metabolites in CNS
Por: Tasneem, Sadia
Publicado em: (2021)

Real time performance analysis on DDoS attack detection using machine learning
Por: Suvra, Debashis Kar, et al.
Publicado em: (2021)

Bio-similar drug development and accessible drugs in the market for the treatment of Alzheimer's Disease: Current status
Por: Tamanna, Mst. Taskia
Publicado em: (2023)

Biomarkers of Alzheimer’s disease: a hope for early diagnosis
Por: Aziz, Farhin
Publicado em: (2019)

Comparison of machine learning techniques to predict cardiovascular disease
Por: Jaber, Mir Mohammad, et al.
Publicado em: (2019)

Disease detection system of mango leaves
Por: Islam, Sabrina, et al.
Publicado em: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
Por: Ferdous, Md.Rubaiat, et al.
Publicado em: (2024)

Prospective detection methods for Tau protein: an important biomarker for Alzheimer’s disease
Por: Afra, Sumaiya
Publicado em: (2022)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
Por: Rafat, Md. Tasbi, et al.
Publicado em: (2023)

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
Por: Zaman, Mumtahina
Publicado em: (2022)

Marine compounds in the treatment of Alzheimer’s disease
Por: Parveen, Sanjana
Publicado em: (2022)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
Por: Sani, Mehedi Hasan, et al.
Publicado em: (2022)

Application of microRNA (miRNA) in Alzheimer’s Disease (AD)
Por: Halim, Rabea
Publicado em: (2022)

Gene editing for neurodegenerative diseases-A review
Por: Sharna, Anika Islam
Publicado em: (2023)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
Por: Khan, Labib Hasan, et al.
Publicado em: (2023)

Personalization in federated recommendation system using SVD++ with explainability
Por: Patwary, Kabbya Kantam, et al.
Publicado em: (2022)