Cover Image

Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Spooner, Annette, Mohammadi, Gelareh, Sachdev, Perminder S., Brodaty, Henry, Sowmya, Arcot
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
by: Spooner, Annette, et al.
Published: (2024)

Alzheimer's & Dementia: The Journal of the Alzheimer's Association
by: Perminder Sachdev
Published: (2025)

GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations
by: de Belen, Ryan Anthony Jalova, et al.
Published: (2025)

Exploring Emotions in Multi-componential Space using Interactive VR Games
by: Somarathna, Rukshani, et al.
Published: (2024)

Associations of positive and negative social connections with brain health in UK Biobank data
by: Suraj Samtani, et al.
Published: (2024)

Alzheimer's Disease Brain Network Mining
by: Moayedikia, Alireza, et al.
Published: (2025)

Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels
by: Chung, Yunsung, et al.
Published: (2026)

Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study
by: Katya Numbers, et al.
Published: (2025)

Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
by: Singh, Sonit, et al.
Published: (2024)

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
by: Chen, Ruiying, et al.
Published: (2026)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
by: Ding, Yilang, et al.
Published: (2025)

Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease
by: Kumar, Sayantan, et al.
Published: (2021)

LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
by: Shao, Mingchen, et al.
Published: (2026)

Retrieval-Augmented Mining of Temporal Logic Specifications from Data
by: Saveri, Gaia, et al.
Published: (2024)

Multi-Scale Graph Theoretical Analysis of Resting-State fMRI for Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Controls
by: Khazaee, Ali, et al.
Published: (2024)

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports
by: Rahman, Md Rayhanur, et al.
Published: (2024)

Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
by: Qu, Zhan, et al.
Published: (2026)

An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
by: Xu, Jinxin, et al.
Published: (2024)

Longitudinal alcohol‐related brain changes in older adults: The Sydney Memory and Ageing Study
by: Louise Mewton, et al.
Published: (2024)

Temporal Data Requirement for Predicting Unplanned Hospital Readmissions
by: Mohammadi, Ramin, et al.
Published: (2026)

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
by: Li, Pochun
Published: (2024)

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
by: Bouchattaoui, Mouad El, et al.
Published: (2023)

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
by: Yin, Xiaohui, et al.
Published: (2026)

SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks
by: Cheng, Sikai, et al.
Published: (2025)

Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning
by: Dobesova, Zdena, et al.
Published: (2026)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
by: He, Zhe, et al.
Published: (2022)

Text Mining Analysis of Symptom Patterns in Medical Chatbot Conversations
by: Razavi, Hamed
Published: (2025)

Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animals
by: Sankaran, Sowmya
Published: (2024)

TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates
by: Ries, Maxmillan, et al.
Published: (2025)

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
by: Yang, Hanchen, et al.
Published: (2023)

Curriculum Negative Mining For Temporal Networks
by: Chen, Ziyue, et al.
Published: (2024)

Data-Driven Analysis of Crash Patterns in SAE Level 2 and Level 4 Automated Vehicles Using K-means Clustering and Association Rule Mining
by: Palit, Jewel Rana, et al.
Published: (2025)

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
by: Zhang, Zhaoyang, et al.
Published: (2024)

Social, environmental, and cognitive correlates of community‐dwelling older adults coping poorly with reduced social contact: A quasi‐experiment set in Australia’s COVID‐19 lockdown in 2020
by: Russell J Chander, et al.
Published: (2024)

Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease
by: Ballyk, Benjamin D., et al.
Published: (2025)

Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework
by: Zhang, Peng, et al.
Published: (2025)

Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction
by: Hu, Xinyue, et al.
Published: (2023)

Mutual Information Assisted Ensemble Recommender System for Identifying Critical Risk Factors in Healthcare Prognosis
by: Dey, Abhishek, et al.
Published: (2022)

Adaptive Identification and Modeling of Clinical Pathways with Process Mining
by: Vitale, Francesco, et al.
Published: (2025)