Matches in SemOpenAlex for { <https://semopenalex.org/work/W4286208810> ?p ?o ?g. }
- W4286208810 endingPage "5407" @default.
- W4286208810 startingPage "5407" @default.
- W4286208810 abstract "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 machine learning-based classification approach for objective diagnosis of three disorders of neuropsychiatric or neurological origin with functional near-infrared spectroscopy (fNIRS) derived biomarkers. Thirteen healthy adolescents and sixty-seven patients who were clinically diagnosed with migraine, obsessive compulsive disorder, or schizophrenia performed a Stroop task, while prefrontal cortex hemodynamics were monitored with fNIRS. Hemodynamic and cognitive features were extracted for training three supervised learning algorithms (naïve bayes (NB), linear discriminant analysis (LDA), and support vector machines (SVM)). The performance of each algorithm in correctly predicting the class of each participant across the four classes was tested with ten runs of a ten-fold cross-validation procedure. All algorithms achieved four-class classification performances with accuracies above 81% and specificities above 94%. SVM had the highest performance in terms of accuracy (85.1 ± 1.77%), sensitivity (84 ± 1.7%), specificity (95 ± 0.5%), precision (86 ± 1.6%), and F1-score (85 ± 1.7%). fNIRS-derived features have no subjective report bias when used for automated classification purposes. The presented methodology might have significant potential for assisting in the objective diagnosis of neuropsychiatric disorders associated with frontal lobe dysfunction." @default.
- W4286208810 created "2022-07-21" @default.
- W4286208810 creator A5017113369 @default.
- W4286208810 creator A5066625774 @default.
- W4286208810 date "2022-07-20" @default.
- W4286208810 modified "2023-10-18" @default.
- W4286208810 title "Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers" @default.
- W4286208810 cites W1581313963 @default.
- W4286208810 cites W1956381018 @default.
- W4286208810 cites W1969959732 @default.
- W4286208810 cites W1974679885 @default.
- W4286208810 cites W1975241035 @default.
- W4286208810 cites W1977322603 @default.
- W4286208810 cites W1977326001 @default.
- W4286208810 cites W1987292515 @default.
- W4286208810 cites W1991550546 @default.
- W4286208810 cites W2003702958 @default.
- W4286208810 cites W2011111213 @default.
- W4286208810 cites W2012267789 @default.
- W4286208810 cites W2013712141 @default.
- W4286208810 cites W2014141278 @default.
- W4286208810 cites W2015801535 @default.
- W4286208810 cites W2015928143 @default.
- W4286208810 cites W2022021629 @default.
- W4286208810 cites W2025564775 @default.
- W4286208810 cites W2027078803 @default.
- W4286208810 cites W2028739995 @default.
- W4286208810 cites W2034291876 @default.
- W4286208810 cites W2039101156 @default.
- W4286208810 cites W2045561515 @default.
- W4286208810 cites W2046178824 @default.
- W4286208810 cites W2049812766 @default.
- W4286208810 cites W2051885176 @default.
- W4286208810 cites W2052088885 @default.
- W4286208810 cites W2053356496 @default.
- W4286208810 cites W2060464767 @default.
- W4286208810 cites W2069658515 @default.
- W4286208810 cites W2075974192 @default.
- W4286208810 cites W2087256811 @default.
- W4286208810 cites W2100231760 @default.
- W4286208810 cites W2111783629 @default.
- W4286208810 cites W2126819771 @default.
- W4286208810 cites W2133990480 @default.
- W4286208810 cites W2137523819 @default.
- W4286208810 cites W2141141646 @default.
- W4286208810 cites W2149351353 @default.
- W4286208810 cites W2151040995 @default.
- W4286208810 cites W2151041365 @default.
- W4286208810 cites W2151756070 @default.
- W4286208810 cites W2154533194 @default.
- W4286208810 cites W2168963208 @default.
- W4286208810 cites W2197869044 @default.
- W4286208810 cites W2254066932 @default.
- W4286208810 cites W2270091248 @default.
- W4286208810 cites W2294281604 @default.
- W4286208810 cites W2310177520 @default.
- W4286208810 cites W2440556161 @default.
- W4286208810 cites W2460529817 @default.
- W4286208810 cites W2521873691 @default.
- W4286208810 cites W2528351778 @default.
- W4286208810 cites W2533647335 @default.
- W4286208810 cites W2549242739 @default.
- W4286208810 cites W2606321326 @default.
- W4286208810 cites W2737693645 @default.
- W4286208810 cites W2746588704 @default.
- W4286208810 cites W2764296436 @default.
- W4286208810 cites W2773484205 @default.
- W4286208810 cites W2776637757 @default.
- W4286208810 cites W2791384765 @default.
- W4286208810 cites W2792881371 @default.
- W4286208810 cites W2796397123 @default.
- W4286208810 cites W2893120419 @default.
- W4286208810 cites W2897906330 @default.
- W4286208810 cites W2902620820 @default.
- W4286208810 cites W2908580509 @default.
- W4286208810 cites W2909078313 @default.
- W4286208810 cites W2982007782 @default.
- W4286208810 cites W2989692229 @default.
- W4286208810 cites W3002441507 @default.
- W4286208810 cites W3004333491 @default.
- W4286208810 cites W3037254739 @default.
- W4286208810 cites W3049138201 @default.
- W4286208810 cites W3081103162 @default.
- W4286208810 cites W3100120625 @default.
- W4286208810 cites W3120824653 @default.
- W4286208810 cites W3171063258 @default.
- W4286208810 cites W3188768863 @default.
- W4286208810 cites W3196295132 @default.
- W4286208810 cites W3202445522 @default.
- W4286208810 cites W4213428975 @default.
- W4286208810 cites W4252046679 @default.
- W4286208810 cites W2096375747 @default.
- W4286208810 doi "https://doi.org/10.3390/s22145407" @default.
- W4286208810 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35891088" @default.
- W4286208810 hasPublicationYear "2022" @default.
- W4286208810 type Work @default.
- W4286208810 citedByCount "4" @default.
- W4286208810 countsByYear W42862088102023 @default.