Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020)

R Alizadehsani, M Roshanzamir, S Hussain… - Annals of Operations …, 2021 - Springer
Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

A state-of-art review of digital technologies for the next generation of tinnitus therapeutics

GD Searchfield, PJ Sanders, Z Doborjeh… - Frontiers in digital …, 2021 - frontiersin.org
Background: Digital processing has enabled the development of several generations of
technology for tinnitus therapy. The first digital generation was comprised of digital Hearing …

Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm

R Luke, E Larson, MJ Shader, H Innes-Brown… - …, 2021 - spiedigitallibrary.org
Significance: Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool
in auditory research, but the range of analysis procedures employed across studies may …

[HTML][HTML] Exploratory data mining techniques (decision tree models) for examining the impact of internet-based cognitive behavioral therapy for tinnitus: Machine …

H Rodrigo, EW Beukes, G Andersson… - Journal of Medical …, 2021 - jmir.org
Background There is huge variability in the way that individuals with tinnitus respond to
interventions. These experiential variations, together with a range of associated etiologies …

[HTML][HTML] Detection of effective genes in colon cancer: A machine learning approach

MA Fahami, M Roshanzamir, NH Izadi… - Informatics in Medicine …, 2021 - Elsevier
Nowadays, a variety of cancers have become common among humans which unfortunately
are the cause of death for many of these people. Early detection and diagnosis of cancers …

[HTML][HTML] Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

Q Xu, LL Zhou, C Xing, X Xu, Y Feng, H Lv, F Zhao… - Neuroimage, 2024 - Elsevier
Objectives Many studies have investigated aberrant functional connectivity (FC) using
resting-state functional MRI (rs-fMRI) in subjective tinnitus patients. However, no studies …

Prediction of tinnitus treatment outcomes based on EEG sensors and TFI score using deep learning

M Doborjeh, X Liu, Z Doborjeh, Y Shen, G Searchfield… - Sensors, 2023 - mdpi.com
Tinnitus is a hearing disorder that is characterized by the perception of sounds in the
absence of an external source. Currently, there is no pharmaceutical cure for tinnitus …

Multi-tasking deep network for tinnitus classification and severity prediction from multimodal structural MR images

CT Lin, S Ghosh, LB Hinkley, CL Dale… - Journal of neural …, 2023 - iopscience.iop.org
Objective: Subjective tinnitus is an auditory phantom perceptual disorder without an
objective biomarker. Fast and efficient diagnostic tools will advance clinical practice by …

Tinnitus and distress: an electroencephalography classification study

A Piarulli, S Vanneste, IE Nemirovsky… - Brain …, 2023 - academic.oup.com
There exist no objective markers for tinnitus or tinnitus disorders, which complicates
diagnosis and treatments. The combination of EEG with sophisticated classification …

Four-class classification of neuropsychiatric disorders by use of functional near-infrared spectroscopy derived biomarkers

SB Erdoğan, G Yükselen - Sensors, 2022 - mdpi.com
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes
the reliability of final clinical decisions questionable. The aim of this study was to propose a …