Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

CLA Navarro, JAA Damen, T Takada, SWJ Nijman… - bmj, 2021 - bmj.com
Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain

XS Hu, TD Nascimento, AF DaSilva - Pain, 2021 - journals.lww.com
Pain is a complex experience that involves sensation, emotion, and cognition. The
subjectivity of the traditional pain measurement tools has expedited the interest in …

[HTML][HTML] Real-time imputation of missing predictor values improved the application of prediction models in daily practice

SWJ Nijman, TKJ Groenhof, J Hoogland… - Journal of clinical …, 2021 - Elsevier
Objectives In clinical practice, many prediction models cannot be used when predictor
values are missing. We, therefore, propose and evaluate methods for real-time imputation …

Empirical comparison of deep learning models for fNIRS pain decoding

R Fernandez Rojas, C Joseph… - Frontiers in …, 2024 - frontiersin.org
Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …

[HTML][HTML] Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI

PA Moreno-Sánchez, R Arroyo-Fernández… - International Journal of …, 2024 - Elsevier
Background and objective Fibromyalgia is a chronic disease that causes pain and affects
patients' quality of life. Current treatments focus on pharmacological therapies for pain …

Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D'hondt pooling technique

I Karabey Aksalli, N Baygin, Y Hagiwara, JK Paul… - Cognitive …, 2024 - Springer
Fibromyalgia is a soft tissue rheumatism with significant qualitative and quantitative impact
on sleep macro and micro architecture. The primary objective of this study is to analyze and …

fNIRS-based brain state transition features to signify functional degeneration after Parkinson's disease

J Lu, Y Wang, Z Shu, X Zhang, J Wang… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Parkinson's disease (PD) is a common neurodegenerative brain disorder, and
early diagnosis is of vital importance for treatment. Existing methods are mainly focused on …

Real-time motion artifact suppression using convolution neural networks with penalty in fNIRS

R Huang, KS Hong, SC Bao, F Gao - Frontiers in Neuroscience, 2024 - frontiersin.org
Introduction Removing motion artifacts (MAs) from functional near-infrared spectroscopy
(fNIRS) signals is crucial in practical applications, but a standard procedure is not available …

Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity

A Eken, B Çolak, NB Bal, A Kuşman… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Somatic symptom disorder (SSD) is a reflection of medically unexplained physical
symptoms that lead to distress and impairment in social and occupational functioning. SSD …

Assessment of flourishing levels of individuals by using resting-state fNIRS with different functional connectivity measures

A Eken - Biomedical Signal Processing and Control, 2021 - Elsevier
Flourishing is an important criterion for assessing well-being, however, controversy remains,
especially while assessing it with self-report measures. Therefore, to understand the …