alzheimers-disease

There are 170 repositories under alzheimers-disease topic.

  • DAKIRNI

    This is an application for people who have alzhaeimer ,and there sons who wish to help them and remind them of usual life stuffs like time to take medicin for example,prayer,incoming visitors and stuffs

    Language:Java5

  • LEAN_CLIP

    Code for paper 'Obtaining leaner DNN for decoding brain functional connectome in a single shot'

    Language:Python5

  • master_code

    Various code from my master's project

    Language:Python5

  • remember-me

    帮助阿尔兹海默症患者回忆过往与记录生活。A web application to help Alzheimer's patients remember the past and record their lives. Unique Studio Hackday 2023 competition repository.

    Language:Go4

  • Inteligencja_Obliczeniowa_Projekt_II

    A project that uses convolutional networks to classify the severity of Alzheimer's disease on the basis of images taken magnetic resonance imaging. The program was written in python using the keras and tensorflow packages.

    Language:Python4

  • Visium_SPG_AD

    Visium SPG AD project (n = 10) using Visium Spatial Proteogenomics (Visium-SPG) on dissections from the inferior temporal cortex (ITC) from Alzheimer's disease cases and controls.

    Language:HTML4

  • Alzheimer-Classification-CNN

    Diagnostic Classification of Alzheimer’s Disease using an Ensemble of CNNs

    Language:Python4

  • Brain-Diseases-Classifier-ML

    Research about classification of Brain diseases between 'Alzheimer's Disease', 'Mild Cognitive Impairment', 'Cognitive Normal' with various Machine Learning models.

    Language:Jupyter Notebook4

  • tsnepad

    AD & PD cohort variable distributions

    Language:HTML3

  • K-Net95-Alzheimer

    El proyecto denominado "Implementación de un modelo predictivo basado en redes neuronales convolucionales 3D en el paso de deterioro cognitivo leve a Alzheimer sobre imágenes por resonancia magnética" muestra una estructura de red neuronal convolucional 3D cuyo objetivo es servir como apoyo médico a partir de la detección temprana del Alzheimer

    Language:Python3

  • HOPE-for-mild-cognitive-impairment

    [JBHI 2024] This is a code implementation of the hybrid-granularity ordinal learning proposed in the manuscript "HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment".

    Language:Python3
  • Alzheimers-Disease-Classification

    Alzheimers-Disease-Classification

    The Alzheimer's Classifier is a deep learning model developed using the Vgg16 architecture.

    Language:Jupyter Notebook3

  • crashs

    CRASHS: Cortical Reconstruction for Automatic Segmentation of Hippocampal Subfields (ASHS)

    Language:Jupyter Notebook3

  • Alzheimer_ensemble_transfer_learning

    Alzheimer prediction using Ensemble Transfer Learning

    Language:Jupyter Notebook3

  • Metabolomics-in-Alzheimer-s-Disease---An-Investigation-into-Conflicting-Methodologies-and-Results

    Metabolomics Data Science MSc project looking at significant metabolites found in Alzheimer's Disease (AD) patients in comparison to patients with mild cognative imparement (MCI) and cognative normal (CN) controls.

    Language:Jupyter Notebook3

  • GCDPipe

    A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.

    Language:Python3

  • VirtualCohorts

    Virtual connectomic datasets in Alzheimer's Disease and aging using whole-brain network dynamics modelling by Arbabyazd et al. (2021)

    Language:MATLAB3

  • ML4VisAD

    Machine Learning for the Visualization of Alzheimer's Disease

    Language:Python3

  • MemoryMate

    MemoryMate is an AI system that supports individuals with Alzheimer's in their daily lives.

    2

  • Applying-Topological-Data-Analysis-to-Alzheimer-s-Disease-Diagnosis-from-MRI

    Hello! We are an international group of students researching deep learning applications for Alzheimer's disease. We aim to introduce a better model for AD diagnosis. Our names are Hugo Jal Hernández, Ravi Shah, Parth Parik.

    Language:Python2

  • Alzheimers-Disease-Classification

    Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

    Language:Python2

  • AD-CogNet

    Study of a cognitive domain network in Alzheimer's disease patients using graph theory.

    Language:Jupyter Notebook2

  • boldcontacts-site-as-sveltekit

    BoldContacts site implemented as SvelteKit

    Language:Svelte2

  • nemo

    Wearable AI Facial Recognition Assistive Device For Dementia and Alzheimer's Patients - 2023 ISEF Project

    Language:Python2

  • roche-dementia-hackathon

    AI and AR-based digital memory lane and cognitive stimulation for dementia patients

    Language:Python2

  • Out-of-Pocket-Costs-Attributable-to-Dementia

    Out-of-pocket costs attributable to dementia: A longitudinal analysis

    Language:Stata2

  • Pyhton-Alzheimer-s-Disease-Analysis

    The aim of the project is to predict the condition of patients with or without the symptoms of Alzheimer's disease by using machine learning algorithms.

    Language:Jupyter Notebook2

  • udacity-healthcare-ai-3d-imaging-alzheimer

    The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.

    Language:Jupyter Notebook2

  • VAE-Alzheimer-Detection-Using-Imbalanced-MRI-Images

    Variational Autoencoder based Imbalanced Alzheimer detection using Brain MRI Images

    Language:Jupyter Notebook2

  • ADPRS_PheWAS

    Those are the code files for producing the PheWAS analyses in the manuscript "Phenome-Wide Association Study of Polygenic Risk Score for Alzheimer’s Disease in Electronic Health Records". Part of our analyses included sensitive genomic data. Codes to produce AD PRS were not included here.

    Language:R2

  • NeuraHealth

    Code for NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records using Deep Learning and Natural Language Processing

    Language:Jupyter Notebook2

  • multimodal-ml-framework

    An extensible framework to experiment with traditional machine learning algorithms on multiple data modalities for binary classification.

    Language:Python2

  • Speech-pause-distribution-as-an-early-marker-for-Alzheimers-disease

    The speech pauses duration corpus and scripts that ensure reproducibility of all results presented in the research paper. P. Pastoriza, I.G. Torre, F. Dieguez, I. Gomez, S. Gelado, J. Bello, A. Avila, J. Matias, V. Pytell, A. Hernandez-Fernandez (2022). Speech pause distribution as an early marker for Alzheimer’s disease. Speech Communication. 136, 107-117

    Language:Jupyter Notebook2

  • CPRD-LRA

    Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes

    Language:Stata2

  • EvidenceAggregatedDriverRanking

    Ranking methodology of potential Driver genes using multi-view feature sets

    Language:Python2

  • artsfordementia

    dementiaHack Toronto 2017

    Language:Python2