Natural language processing in medicine: a review
S Locke, A Bashall, S Al-Adely, J Moore… - Trends in Anaesthesia …, 2021 - Elsevier
Natural language processing (NLP) is a form of machine learning which enables the
processing and analysis of free text. When used with medical notes, it can aid in the …
processing and analysis of free text. When used with medical notes, it can aid in the …
A systematic literature review of automatic Alzheimer's disease detection from speech and language
Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …
Disease (AD) detection using automatic language processing. We systematically review …
Alzheimer's dementia recognition through spontaneous speech
The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article
I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
Natural language processing using graph neural network for text classification
The boom of the technological area has given rise to numerous new applications that
actually rule the entire world. Some of them mainly are the social media networks like the …
actually rule the entire world. Some of them mainly are the social media networks like the …
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 …
Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease
Introduction Advances in natural language processing (NLP), speech recognition, and
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …
An automatic Alzheimer's disease classifier based on spontaneous spoken English
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …
many researchers to explore ways to automate the process to make it more objective and to …
Predicting MCI status from multimodal language data using cascaded classifiers
KC Fraser, K Lundholm Fors, M Eckerström… - Frontiers in aging …, 2019 - frontiersin.org
Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …
detection of mild cognitive impairment (MCI). Most studies combining language processing …