English

Data-Driven Disease Progression Modelling

Neurons and Cognition 2022-11-14 v1 Machine Learning Quantitative Methods
Authors: Neil P. Oxtoby
View on arXiv ↗ PDF ↗

Abstract

Intense debate in the Neurology community before 2010 culminated in hypothetical models of Alzheimer's disease progression: a pathophysiological cascade of biomarkers, each dynamic for only a segment of the full disease timeline. Inspired by this, data-driven disease progression modelling emerged from the computer science community with the aim to reconstruct neurodegenerative disease timelines using data from large cohorts of patients, healthy controls, and prodromal/at-risk individuals. This chapter describes selected highlights from the field, with a focus on utility for understanding and forecasting of disease progression.

Keywords

alzheimer's disease disease risk assessment biological aging

Cite

@article{arxiv.2211.05786,
  title  = {Data-Driven Disease Progression Modelling},
  author = {Neil P. Oxtoby},
  journal= {arXiv preprint arXiv:2211.05786},
  year   = {2022}
}

Comments

24 pages, 8 figures. Chapter to appear in: O. Colliot (Ed.), Machine Learning for Brain Disorders, Springer

Related papers

View all related →
Computers and Society · Computer Science
Toward a multimodal multitask model for neurodegenerative diseases diagnosis and progression prediction
Sofia Lahrichi, Maryem Rhanoui, Mounia Mikram, Bouchra El Asri
2021-10-19
Quantitative Methods · Quantitative Biology
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy
Razvan V. Marinescu
2020-03-11
Machine Learning · Computer Science
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
2020-04-01
Applications · Statistics
Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation
Marco Lorenzi, Maurizio Filippone, Daniel C. Alexander, Sebastien Ourselin
2018-02-16
Computer Vision and Pattern Recognition · Computer Science
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper +4
2017-11-27
Image and Video Processing · Electrical Eng. & Systems
Automated detection of Alzheimer disease using MRI images and deep neural networks- A review
Narotam Singh, Patteshwari. D, Neha Soni, Amita Kapoor
2022-09-26
Machine Learning · Computer Science
Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data
Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij, Daniel C. Alexander +2
2026-02-26
Machine Learning · Computer Science
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Yingying Zhu, Mert R. Sabuncu
2018-03-19
Machine Learning · Computer Science
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data
Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A Nalls +2
2018-12-07
Applications · Statistics
Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
Mingyuan Li, Zheyu Wang, Akihiko Nishimura
2025-05-12
Applications · Statistics
Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2019-08-14
Machine Learning · Computer Science
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
Peter A. Wijeratne, Daniel C. Alexander
2021-06-07
Machine Learning · Computer Science
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
2019-08-14
Neurons and Cognition · Quantitative Biology
Data-driven spatiotemporal modeling reveals personalized trajectories of cortical atrophy in Alzheimer's disease
Chunyan Li, Yutong Mao, Xiao Liu, Wenrui Hao
2025-11-13
Applications · Statistics
The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's
Dan Li, Samuel Iddi, Paul S. Aisen, Wesley K. Thompson +1
2020-03-10
Computer Vision and Pattern Recognition · Computer Science
A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling
Vikram Venkatraghavan, Esther Bron, Wiro Niessen, Stefan Klein
2017-02-22
Methodology · Statistics
Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers
Yizhen Xu, Scott Zeger, Zheyu Wang
2024-06-11
Methodology · Statistics
Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer's disease and related dementia
Jérémie Lespinasse, Carole Dufouil, Cécile Proust-Lima, the MEMENTO study group
2024-07-17
Machine Learning · Computer Science
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort
Henry Musto, Daniel Stamate, Ida Pu, Daniel Stahl
2023-06-21
Computer Vision and Pattern Recognition · Computer Science
Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression
Wonsik Jung, Eunji Jun, Heung-Il Suk
2020-08-28
Other Computer Science · Computer Science
A dynamic mechanism of Alzheimer based on artificial neural network
Zhi Cheng
2014-11-18
Machine Learning · Computer Science
Forecasting the Progression of Alzheimer's Disease Using Neural Networks and a Novel Pre-Processing Algorithm
Jack Albright
2019-03-25
Machine Learning · Statistics
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning
Bryan Lim, Mihaela van der Schaar
2018-07-10
Neurons and Cognition · Quantitative Biology
Towards Alzheimer's Disease Progression Assessment: A Review of Machine Learning Methods
Zibin Zhao
2022-11-14
Machine Learning · Computer Science
Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
Jindong Wang, Yutong Mao, Xiao Liu, Wenrui Hao
2025-07-23
R2 v1 2026-06-28T05:37:37.757Z