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

Formative Evaluation of Digital Health Interventions (3452) Machine Learning (2229) Natural Language Processing (954) Diagnostic Tools in Mental Health (340) Decision Support for Health Professionals (1637) Dementia and Cognitive Decline (741) Methods and New Tools in Mental Health Research (585) Development and Evaluation of Research Methods, Instruments and Tools (810) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36590, first published .
Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation

Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation

Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation

Authors of this article:

Bingyang Wen1 Author Orcid Image ;   Ning Wang1 Author Orcid Image ;   Koduvayur Subbalakshmi1 Author Orcid Image ;   Rajarathnam Chandramouli2 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Saarela M, Podgorelec V. Recent Applications of Explainable AI (XAI): A Systematic Literature Review. Applied Sciences 2024;14(19):8884 View
  2. Ding K, Chetty M, Noori Hoshyar A, Bhattacharya T, Klein B. Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges. Artificial Intelligence Review 2024;57(12) View
  3. Shakeri A, Farmanbar M. Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2025;17(1) View
  4. Alsuhaibani M, Pourramezan Fard A, Sun J, Far Poor F, Pressman P, Mahoor M. A Review of Machine Learning Approaches for Non-Invasive Cognitive Impairment Detection. IEEE Access 2025;13:56355 View
  5. Peled-Cohen L, Reichart R. A Systematic Review of NLP for Dementia: Tasks, Datasets, and Opportunities. Transactions of the Association for Computational Linguistics 2025;13:1204 View
  6. Yu Z, Mulholland A, Huang T, Liu Q. Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities. Journal of Medical Internet Research 2026;28:e85414 View
  7. Mobtahej P, Gouron S, Javaheri R, Le D, El-Khoury A, Naing T, Sajjadi S. Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review. IEEE Journal of Biomedical and Health Informatics 2026;30(3):2034 View

Conference Proceedings

  1. Shakeri A, Farmanbar M, Balog K. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection View