Machine learning techniques for the diagnosis of Alzheimer's disease: A review
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …
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 …
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 …
range of disciplines in recent years, including health. The increase in computer hardware …
[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations
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 …
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
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 …
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 …
Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments …
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 …
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
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 …
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 …
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 …
patients during picture description tasks. Methods Transcriptions and audio recordings of the …