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Antigone Fogel et al.'s work on developing Theia, A Decision Support Tool to Predict Rates of Cognitive and Functional Decline in Alzheimer's Disease and Mild Cognitive Impairment

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Theia: A Decision Support Tool to Predict Rates of Cognitive and Functional Decline in Alzheimer's Disease and Mild Cognitive Impairment

Authors: Antigone Fogel et al.


๐Ÿง  Overview

Theia is a clinical decision support tool developed to predict the rate of cognitive and functional decline in individuals living with dementia. This tool uses machine learning techniques and routinely collected clinical assessment data to support personalised prognosis and care planning.

This repository includes code, data-processing notebooks, and documentation used in the study.


๐Ÿ“„ Paper

  • Title: Theia: A Decision Support Tool to Predict Rates of Cognitive and Functional Decline in People Living with Dementia
  • Authors: Antigone Fogel et al.
  • Publication: [Journal name / conference if known]
  • Link: [Add DOI or arXiv link here]

๐Ÿงฎ 'notebooks/' # Jupyter notebooks for preprocessing, modeling, and evaluation

๐Ÿ“‚ Repository Contents

โ”œโ”€โ”€ src/                 # Core Python modules used in the project
โ”œโ”€โ”€ models/              # Trained models and configuration files
โ”œโ”€โ”€ figures/             # Figures used in the paper
โ””โ”€โ”€ README.md            # This file

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Antigone Fogel et al.'s work on developing Theia, A Decision Support Tool to Predict Rates of Cognitive and Functional Decline in Alzheimer's Disease and Mild Cognitive Impairment

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