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Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis |
Sangwoo Nam, Min Kyun Sohn, Hyun Ah Kim, Hyoun-Joong Kong, Il-Young Jung |
Healthc Inform Res. 2019;25(2):131-138. Published online April 30, 2019 DOI: https://doi.org/10.4258/hir.2019.25.2.131 |
Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis Application of time-varying analysis to diagnostic needle electromyography Model selection for a medical diagnostic decision support system: a breast cancer detection case INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge Artificial intelligence and expert systems Dynamic decision support graph—Visualization of ANN-generated diagnostic indications of pathological conditions developing over time Needle Electromyography Waveforms During Needle Electromyography Artificial intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy PC-KANDID: An expert system for electromyography |