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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33460, first published .
Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Journals

  1. Farajzadeh N, Sadeghzadeh N, Ijaz M. NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires. PLOS ONE 2023;18(4):e0284588 View
  2. Hamrick P, Sanborn V, Ostrand R, Gunstad J. Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis. JMIR Aging 2023;6:e46483 View
  3. Tang L, Zhang Z, Feng F, Yang L, Li H. Explainable Alzheimer’s Disease Detection Using Linguistic Features from Automatic Speech Recognition. Dementia and Geriatric Cognitive Disorders 2023;52(4):240 View
  4. Al-Hammadi M, Fleyeh H, Åberg A, Halvorsen K, Thomas I. Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review. Journal of Alzheimer's Disease 2024;100(1):1 View