This paper is in the following e-collection/theme issue:

Falls and Emergency Detection with Sensors and other Technologies (41) Sensors at Home and Domotics (68) Dementia and Cognitive Decline (581) Ubiquitous Health (uHealth) (130) Telehealth and Telemonitoring (1865)

Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38211, first published .
An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

Authors of this article:

Nivedita Bijlani1 Author Orcid Image ;   Ramin Nilforooshan2, 3, 4 Author Orcid Image ;   Samaneh Kouchaki1, 3 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Gino V, Negri R, Souza F, Silva E, Bressane A, Mendes T, Casaca W. Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series. Sustainability 2023;15(6):4725 View
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  3. Newby D, Orgeta V, Marshall C, Lourida I, Albertyn C, Tamburin S, Raymont V, Veldsman M, Koychev I, Bauermeister S, Weisman D, Foote I, Bucholc M, Leist A, Tang E, Tai X, Llewellyn D, Ranson J. Artificial intelligence for dementia prevention. Alzheimer's & Dementia 2023;19(12):5952 View
  4. Srimokla O, Pan-Ngum W, Khamsiriwatchara A, Padungtod C, Tipmontree R, Choosri N, Saralamba S. Early warning systems for malaria outbreaks in Thailand: an anomaly detection approach. Malaria Journal 2024;23(1) View
  5. Macias Alonso A, Hirt J, Woelfle T, Janiaud P, Hemkens L. Definitions of digital biomarkers: a systematic mapping of the biomedical literature. BMJ Health & Care Informatics 2024;31(1):e100914 View
  6. Cohen A, Naslund J, Lane E, Bhan A, Rozatkar A, Mehta U, Vaidyam A, Byun A, Barnett I, Torous J. Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample. Acta Psychiatrica Scandinavica 2025;151(3):388 View
  7. Nafea A, AL-Mahdawi M, AL-Ani M, Omar N. A Review on Adverse Drug Reaction Detection Techniques. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 2024;12(1):143 View
  8. Piaseczna N, Doniec R, Sieciński S, Barańska K, Jędrychowski M, Grzegorzek M. Driving Reality vs. Simulator: Data Distinctions. Electronics 2024;13(14):2708 View
  9. Rodrigues J, Dias M, Negri R, Hussain S, Casaca W. A Robust Dual-Mode Machine Learning Framework for Classifying Deforestation Patterns in Amazon Native Lands. Land 2024;13(9):1427 View
  10. Bijlani N, Maldonado O, Nilforooshan R, Barnaghi P, Kouchaki S. Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Computers in Biology and Medicine 2024;183:109287 View
  11. Cejudo A, Beristain A, Almeida A, Rebescher K, Martín C, Macía I. Smart home-assisted anomaly detection system for older adults: a deep learning approach with a comprehensive set of daily activities. Medical & Biological Engineering & Computing 2025 View
  12. Wu K, Belza B, Berry D, Lewis F, Zaslavsky O. Digital Health Interventions for Urinary Tract Infection Prevention and Management in People Living with Dementia and Their Family Caregivers: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View
  13. Papageorgiou G, Skamnia E, Economou P. AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis. WIREs Data Mining and Knowledge Discovery 2025;15(2) View

Conference Proceedings

  1. Kebir S, Tabia K. 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE). Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep View