Healthcare Data Analytics

By analyzing bio data such as patients' speech, voice, and gaze, we develop disease diagnosis and severity prediction models, building AI models for non-invasive, casual diagnosis and discovering biomarkers.

Research topics

• AI-based disease diagnosis systems using medical records and voice, speech, and gaze data
• Disease prediction and biomarker discovery from voice, speech, and gaze data
• Deep learning models for diagnosing cognitive impairment from the speech of at-risk patients
• Advanced voice-based emotion classification algorithms for mental healthcare
• Cognitive impairment classification models from patients' sleep lifelog analysis

Representative projects

"Speech data: from health management of cognitive, language, and motor functions to disease prediction" (National Research Foundation of Korea, SSK long-term data project); "Developing an AI transformation-based intervention platform for communication disorders" (TIPA project)

Partners

Kyungpook National University Hospital (Neurology and Neurosurgery), Daegu University Department of Speech-Language Pathology, Neophons Inc.