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

Formative Evaluation of Digital Health Interventions (2690) Machine Learning (1627) Natural Language Processing (764) Diagnostic Tools in Mental Health (272) Decision Support for Health Professionals (1288) Dementia and Cognitive Decline (549) Methods and New Tools in Mental Health Research (491) Development and Evaluation of Research Methods, Instruments and Tools (598) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

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 (3) 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