Machine Learning in Diagnosis Support with Posturography Data
Teru Kamogashira
Abstract
Machine learning is an algorithm that allows computers to learn from existing data to find patterns and apply the learned results to new data to predict the future. Practical examples include machine translation, speech recognition, dialogue systems, handwriting recognition, facial image recognition, and automated driving. Recent research and applications in the medical field include automated detection of tumors on CT images and endoscopic images.
Topics & Concepts
Computer scienceArtificial intelligenceField (mathematics)Speech recognitionPosturographyMachine learningHandwritingPattern recognition (psychology)Vestibular systemPsychologyPure mathematicsMathematicsNeuroscienceCerebral Venous Sinus ThrombosisFetal and Pediatric Neurological DisordersHead and Neck Cancer Studies