Healthcare Informatics Research

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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

Sangwoo Nam, Min Kyun Sohn, Hyun Ah Kim, Hyoun-Joong Kong, Il-Young Jung

Healthcare Informatics Research. 2019;25(2):131

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Application of time-varying analysis to diagnostic needle electromyography

Geoffrey L. Sheean

Medical Engineering & Physics. 2012;34(2):249-255

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Model selection for a medical diagnostic decision support system: a breast cancer detection case

David West, Vivian West

Artificial Intelligence in Medicine. 2000;20(3):183-204

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INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge

Gil Citro, Gordon Banks, Gregory Cooper

Artificial Intelligence in Medicine. 1997;10(3):257-267

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Artificial intelligence and expert systems

Decision Behaviour, Analysis and Support. 2009;115-139

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Dynamic decision support graph—Visualization of ANN-generated diagnostic indications of pathological conditions developing over time

Johan Ellenius, Torgny Groth

Artificial Intelligence in Medicine. 2008;42(3):189-198

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Needle Electromyography Waveforms During Needle Electromyography

Devon I. Rubin

Neurologic Clinics. 2021;39(4):919-938

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Artificial intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics

Khajamoinuddin Syed, William C. Sleeman, Joseph J. Nalluri, Rishabh Kapoor, Michael Hagan, Jatinder Palta, Preetam Ghosh

Artificial Intelligence in Precision Health. 2020;31-59

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Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy

Luis David Avendaño-Valencia, Knud B. Yderstræde, Esmaeil S. Nadimi, Victoria Blanes-Vidal

Artificial Intelligence in Medicine. 2021;114:102050

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PC-KANDID: An expert system for electromyography

A. Fuglsang-Frederiksen, J. Rønager, S. Vingtoft

Artificial Intelligence in Medicine. 1989;1(3):117-124

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