Dementia Cohort Identification and SVM Classifier Pipeline for article ‘Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data’

Parminder Singh Reel; Salim Al-Wasity; Craig Edwards; Smarti Reel; Esma Mansouri-Benssassi; Szabolcs Suveges; Muthu Rama Krishnan Mookiah; Susan Krueger; Manuel Trucco; Emily Jefferson; Alexander Doney; Douglas Steele

Dementia Cohort Identification and SVM Classifier Pipeline for article ‘Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data’

Parminder Singh Reel (Creator)
, Salim Al-Wasity (Creator)
, Craig Edwards (Creator)
, Smarti Reel (Creator)
, Esma Mansouri-Benssassi (Creator)
, Szabolcs Suveges (Creator)
, Muthu Rama Krishnan Mookiah (Creator)
, Susan Krueger (Creator)
, Manuel Trucco (Creator)
, Emily Jefferson (Creator)
, Alexander Doney (Creator)
, Douglas Steele (Creator)

Research output: Non-textual form › Software

Abstract

This is a comprehensive README for the Dementia Cohort Identification and SVM classifier pipeline used in the article:

Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data

The Dementia Cohort Identification and SVM classifier pipeline was developed under the PICTURES Exemplar-2 Project.

For any queries regarding the code contact the corresponding author at [email protected]

Original language	English
Publisher	GitHub
Media of output	Other
Publication status	Published - 29 Oct 2025

Keywords

Dementia risk prediction
Magnetic Resonance
Machine learning
Early detection
Population health

Access to Document

https://github.com/HicResearch/PICTURES-DementiaClassifierLicence: Other

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)
Doney, A. (Investigator), Jefferson, E. (Investigator), Palmer, C. (Investigator), Steele, D. (Investigator), Trucco, M. (Investigator) & Wang, H. (Investigator)
1/08/19 → 28/02/25
Project: Research

Predicting future dementia from routine clinical MRI and linked healthcare data
Reel, P. S. (Lead / Corresponding author), Al-Wasity, S., Edwards, C., Reel, S., Mansouri-Benssassi, E., Suveges, S., Mookiah, M. R. K., Krueger, S., Trucco, M., Jefferson, E., Doney, A. & Steele, D., 8 May 2026, (Accepted/In press) In: Alzheimer's Research and Therapy.
Research output: Contribution to journal › Article › peer-review

Cite this

Reel, P. S., Al-Wasity, S., Edwards, C., Reel, S., Mansouri-Benssassi, E., Suveges, S., Mookiah, M. R. K., Krueger, S., Trucco, M., Jefferson, E., Doney, A., & Steele, D. (2025). Dementia Cohort Identification and SVM Classifier Pipeline for article ‘Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data’. Software, GitHub. https://github.com/HicResearch/PICTURES-DementiaClassifier

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title = "Dementia Cohort Identification and SVM Classifier Pipeline for article {\textquoteleft}Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data{\textquoteright}",

abstract = "This is a comprehensive README for the Dementia Cohort Identification and SVM classifier pipeline used in the article: Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data The Dementia Cohort Identification and SVM classifier pipeline was developed under the PICTURES Exemplar-2 Project. For any queries regarding the code contact the corresponding author at [email protected]",

keywords = "Dementia risk prediction, Magnetic Resonance, Machine learning, Early detection, Population health",

author = "Reel, \{Parminder Singh\} and Salim Al-Wasity and Craig Edwards and Smarti Reel and Esma Mansouri-Benssassi and Szabolcs Suveges and Mookiah, \{Muthu Rama Krishnan\} and Susan Krueger and Manuel Trucco and Emily Jefferson and Alexander Doney and Douglas Steele",

year = "2025",

month = oct,

day = "29",

language = "English",

publisher = "GitHub",

address = "United States",

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Reel, PS, Al-Wasity, S, Edwards, C, Reel, S, Mansouri-Benssassi, E, Suveges, S , Mookiah, MRK, Krueger, S, Trucco, M , Jefferson, E , Doney, A & Steele, D, Dementia Cohort Identification and SVM Classifier Pipeline for article ‘Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data’, 2025, Software, GitHub. <https://github.com/HicResearch/PICTURES-DementiaClassifier>

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A2 - Reel, Parminder Singh

A2 - Al-Wasity, Salim

A2 - Edwards, Craig

A2 - Reel, Smarti

A2 - Mansouri-Benssassi, Esma

A2 - Suveges, Szabolcs

A2 - Mookiah, Muthu Rama Krishnan

A2 - Krueger, Susan

A2 - Trucco, Manuel

A2 - Jefferson, Emily

A2 - Doney, Alexander

A2 - Steele, Douglas

PY - 2025/10/29

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N2 - This is a comprehensive README for the Dementia Cohort Identification and SVM classifier pipeline used in the article: Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data The Dementia Cohort Identification and SVM classifier pipeline was developed under the PICTURES Exemplar-2 Project. For any queries regarding the code contact the corresponding author at [email protected]

AB - This is a comprehensive README for the Dementia Cohort Identification and SVM classifier pipeline used in the article: Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data The Dementia Cohort Identification and SVM classifier pipeline was developed under the PICTURES Exemplar-2 Project. For any queries regarding the code contact the corresponding author at [email protected]

KW - Dementia risk prediction

KW - Magnetic Resonance

KW - Machine learning

KW - Early detection

KW - Population health

M3 - Software

PB - GitHub

ER -

Dementia Cohort Identification and SVM Classifier Pipeline for article ‘Machine learning-based prediction of future dementia using routine clinical MRI brain scans and healthcare data’

Abstract

Keywords

Access to Document

Fingerprint

Projects

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)

Research output

Predicting future dementia from routine clinical MRI and linked healthcare data

Cite this