Artificial intelligence (AI) is increasingly used across the diagnostic pathway, from screening and disease detection to differential diagnosis, prognostic stratification, and treatment-response assessment. This narrative review examines predictive, generative, multi-modal, and agentic AI through a diagnostic-science l...
: Electroencephalography (EEG) emotion recognition attempts to infer affective state from brain activity. This work proposes multichannel Binary Transition Pattern (mBTP), a BP-derived descriptor that converts center-to-neighbor vector differences into ordered channel transitions and transition-table features. We also...
Abdullahi Abba Abdullahi, Suat Tas, Dahiru Tanko et al.· Computer Modeling in Enginee...· 0 citations
Background: EEG responses to violence-related visual stimuli are relevant to neuroscience and digital forensics. Yet most EEG classification models emphasize predictive performance and provide limited evidence about the signal patterns that support each decision.Method: In this research, Tensor Pattern (TensorPat) was...
Suat Tas, Dahiru Tanko, Mehmet Veysel Gun et al.· Technology and Health Care· 0 citations
Paroxysmal atrial fibrillation (PAF) may be missed on intermittent electrocardiographic (ECG) recordings. We evaluated MK545Pat, a deterministic one-dimensional descriptor derived from the first-appearance order of the notes in Mozart’s Piano Sonata K.545. The CPSC 2021 dataset contains 1436 records from 105 patients,...
Irem Ece Gulensoy, Ilknur Tuncer, T. Kıvrak et al.· Bioengineering· 0 citations
Model validation estimates the performance of a complete learning procedure on new data. However, an invalid split can produce an optimistic and stable result. This tutorial reviews hold-out validation, train/validation/test designs, repeated random subsampling, k-fold and repeated stratified cross-validation, leave-on...
M. Baygin, M. Kutlu Sengul, T. Tuncer· 0 citations
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