Machine learning techniques for the diagnosis of Alzheimer's disease: A review

M Tanveer, B Richhariya, RU Khan… - ACM Transactions on …, 2020 - dl.acm.org
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …

Artificial intelligence in psychiatry research, diagnosis, and therapy

J Sun, QX Dong, SW Wang, YB Zheng, XX Liu… - Asian Journal of …, 2023 - Elsevier
Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

AI in health: state of the art, challenges, and future directions

F Wang, A Preininger - Yearbook of medical informatics, 2019 - thieme-connect.com
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …

[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations

J Robin, JE Harrison, LD Kaufman, F Rudzicz… - Digital …, 2020 - karger.com
Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

Review on alzheimer disease detection methods: Automatic pipelines and machine learning techniques

A Shukla, R Tiwari, S Tiwari - Sci, 2023 - mdpi.com
Alzheimer's Disease (AD) is becoming increasingly prevalent across the globe, and various
diagnostic and detection methods have been developed in recent years. Several techniques …

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment …

A Yeung, A Iaboni, E Rochon, M Lavoie… - Alzheimer's research & …, 2021 - Springer
Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments …

Alzheimer's disease and automatic speech analysis: a review

MLB Pulido, JBA Hernández, MÁF Ballester… - Expert systems with …, 2020 - Elsevier
The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Dementia detection from speech using machine learning and deep learning architectures

MR Kumar, S Vekkot, S Lalitha, D Gupta, VJ Govindraj… - Sensors, 2022 - mdpi.com
Dementia affects the patient's memory and leads to language impairment. Research has
demonstrated that speech and language deterioration is often a clear indication of dementia …

Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia

L Calzà, G Gagliardi, RR Favretti… - Computer Speech & …, 2021 - Elsevier
Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …

[HTML][HTML] Computer-based evaluation of Alzheimer's disease and mild cognitive impairment patients during a picture description task

L Hernández-Domínguez, S Ratté… - Alzheimer's & Dementia …, 2018 - Elsevier
Introduction We present a methodology to automatically evaluate the performance of
patients during picture description tasks. Methods Transcriptions and audio recordings of the …