[HTML][HTML] A systematic review on machine learning techniques for early detection of mental, neurological and laryngeal disorders using patient's speech

M Sayadi, V Varadarajan, M Langarizadeh, G Bayazian… - Electronics, 2022 - mdpi.com
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine
learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and …

Cross-cultural validation and measurement invariance of the Perth Alexithymia Questionnaire (PAQ): a study in Iran and the USA

M Mazidi, A Azizi, R Becerra, JJ Gross… - Australian …, 2023 - Taylor & Francis
Objective Alexithymia is a trait defined by difficulty in identifying and describing feelings, as
well as externally oriented thinking. It is an important transdiagnostic risk factor for a range of …

Machine learning‐based classifying of risk‐takers and risk‐aversive individuals using resting‐state EEG data: A pilot feasibility study

R Eyvazpour, FFT Navi, E Shakeri, B Nikzad… - Brain and …, 2023 - Wiley Online Library
Background Decision‐making is vital in interpersonal interactions and a country's economic
and political conditions. People, especially managers, have to make decisions in different …

[PDF][PDF] Disgust processing differences and their neural correlates in autistic youth

A Jayashankar, E Kilroy, SM Ringold, C Butera… - Scientific Reports, 2024 - osf.io
While there is some data indicating increased pica behaviors in autism, disgust processing
differences in autism (ASD) have been less explored. Here, we examined disgust …

Facial Emotion Recognition and Classification Using the Convolutional Neural Network‐10 (CNN‐10)

EG Dada, DO Oyewola, SB Joseph… - … Intelligence and Soft …, 2023 - Wiley Online Library
The importance of facial expressions in nonverbal communication is significant because
they help better represent the inner emotions of individuals. Emotions can depict the state of …

A wavelet-based approach for multimodal prediction of alexithymia from physiological signals

V Filippou, N Theodosiou, M Nicolaou… - … Publication of the 2022 …, 2022 - dl.acm.org
Alexithymia is a trait reflecting a person's difficulty in identifying and expressing their
emotions that has been linked to various forms of psychopathology. The identification of …

[HTML][HTML] Emotion Processing in Peripheral Neuropathic Pain: An Observational Study

G Isoardo, M Adenzato, S Ciullo, E Fontana, I Stura… - Medical …, 2024 - mdpi.com
Background: In clinical practice, the implementation of tailored treatment is crucial for
assessing the patient's emotional processing profile. Here, we investigate all three levels of …

Smart-ESP System for Emotion Strength Prediction for Static Facial Images

S Benisha, TT Mirnalinee - Wireless Personal Communications, 2024 - Springer
The detection of a person present emotional state using facial expressions is a useful study
subject in facial emotion identification. The difficult problem of automatically recognizing …

Effectiveness of the acceptance and commitment therapy on resilience and quality of life in patients with post-acute COVID-19 syndrome

N Nikrah, F Bahari, A Shiri - Applied Nursing Research, 2023 - Elsevier
Abstract Post-acute COVID-19 syndrome (PCS) is defined as an ongoing symptomatic
illness in patients who have recovered from their initial COVID-19 infection which causes …

Multimodal Prediction of Alexithymia from Physiological and Audio Signals

V Filippou, MA Nicolaou, N Theodosiou… - … and Demos (ACIIW), 2023 - ieeexplore.ieee.org
Alexithymia is a trait that reflects a person's difficulty in recognising and expressing their
emotions, which has been associated with various forms of mental illness. Identifying …